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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. 11678
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    Explanations

    phrases highlighting positive aspects or features of various entities

    oai_token-act-pair · gpt-3.5-turbo

    discussions highlighting the notable or interesting aspects of various topics

    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
    STATE
    -0.77
    DERR
    -0.76
    mouth
    -0.73
    bus
    -0.72
    whe
    -0.72
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
    COL
    -0.68
    />
    -0.66
    lli
    -0.65
    OIL
    -0.65
    POSITIVE LOGITS
     Kinnikuman
    0.75
    ©¶æ
    0.70
    anium
    0.67
     Antar
    0.67
     this
    0.66
    lihood
    0.65
    adding
    0.64
     Nug
    0.62
     deploying
    0.61
     these
    0.60
    Activations Density 0.172%

    No Known Activations