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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. 4-RES-JB
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    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to specific individuals and locations

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

    No Comments

    Negative Logits
    frog
    -0.74
    Water
    -0.70
    ãĥīãĥ©
    -0.70
    Girls
    -0.69
    natureconservancy
    -0.68
    IVER
    -0.67
    ãĤ·ãĥ£
    -0.67
    Ther
    -0.65
     Tsukuyomi
    -0.63
    TABLE
    -0.63
    POSITIVE LOGITS
    elong
    1.25
     Benn
    0.94
    etooth
    0.87
    evin
    0.85
    ellery
    0.83
    acio
    0.82
    resso
    0.81
    ovie
    0.79
    aughs
    0.79
    hari
    0.79
    Activations Density 0.022%

    No Known Activations