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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
    11. 24574
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    Explanations

    words related to physical actions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases related to contrast and comparison

    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
    Course
    -0.64
    enhagen
    -0.58
     conclud
    -0.57
     ));
    -0.57
    emort
    -0.56
    Fourth
    -0.54
     scrut
    -0.53
    \",
    -0.50
     destro
    -0.49
    aroo
    -0.49
    POSITIVE LOGITS
    tnc
    0.75
    sic
    0.73
    lex
    0.56
    irl
    0.56
     grain
    0.55
    leted
    0.54
    gyn
    0.54
     pandemonium
    0.53
    hai
    0.53
     barley
    0.53
    Activations Density 1.396%

    No Known Activations