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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 3336
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    Explanations

    terms related to specific concepts or entities, such as "camp," "magic," "abortion," "music," "iron," "police," "lobby," "NAD," "Syndic," "Boston," "cheese," "Bantam," "job," "gas,"

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to various categories such as camps, magic, abortion, music, gas, and sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.77
    ngth
    -0.68
    NetMessage
    -0.63
    arnaev
    -0.63
    âĢ
    -0.62
    ————————
    -0.62
    ubis
    -0.61
    )</
    -0.59
    thens
    -0.58
    >>>>>>>>
    -0.57
    POSITIVE LOGITS
     herself
    0.72
     itself
    0.71
     himself
    0.70
    talk
    0.63
    rite
    0.60
    eur
    0.60
     Sabres
    0.60
     Regions
    0.60
     NX
    0.59
     oneself
    0.59
    Activations Density 1.124%

    No Known Activations