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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 5617
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    INDEX
    Explanations

    mentions of places or food ingredients in a text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurements, quantities, or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adder
    -0.69
    aundering
    -0.66
    clinton
    -0.66
     judgment
    -0.66
    adders
    -0.64
    kinson
    -0.63
    gewater
    -0.61
    izont
    -0.61
    isha
    -0.61
    paren
    -0.60
    POSITIVE LOGITS
    vous
    0.79
     Vide
    0.76
    urious
    0.76
    opus
    0.75
    uits
    0.74
    umbnail
    0.73
    avier
    0.72
    ery
    0.72
    xon
    0.71
    enced
    0.69
    Activations Density 0.028%

    No Known Activations