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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. 1-RES-JB
    11. 22453
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    Explanations

    certain human activities or actions described as being done in a specific way

    oai_token-act-pair · gpt-3.5-turbo

    references to different ways of behavior or action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    disc
    -0.74
    Dust
    -0.72
    archives
    -0.67
     Patri
    -0.67
    hemat
    -0.64
    ropolitan
    -0.64
    ãĥ¡
    -0.63
     Rivals
    -0.63
     Vikings
    -0.62
     Nanto
    -0.61
    POSITIVE LOGITS
    isms
    1.22
     manner
    0.92
    finding
    0.82
     ACTIONS
    0.76
    othy
    0.75
    wcsstore
    0.74
     disposition
    0.72
     manners
    0.72
    abus
    0.69
     alterations
    0.68
    Activations Density 0.010%

    No Known Activations