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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. 3-RES-JB
    11. 20303
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    Explanations

    verbs related to processes or actions in a professional or formal context

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions or processes related to completion and occurrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ethic
    -0.58
    dom
    -0.57
    aleb
    -0.57
    church
    -0.56
     roots
    -0.55
    istries
    -0.53
    ajo
    -0.53
     fasc
    -0.52
    Labor
    -0.52
     bush
    -0.51
    POSITIVE LOGITS
    ynamic
    0.75
    ãĥ¼ãĥĨ
    0.73
    quished
    0.71
    ĸļ
    0.68
     Parenthood
    0.67
     psychiat
    0.66
    escription
    0.66
     awa
    0.66
    igated
    0.65
    urated
    0.65
    Activations Density 0.566%

    No Known Activations