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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. 9-RES-JB
    11. 13252
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    Explanations

    positive or negative reactions to statements or situations, expressed in short phrases

    oai_token-act-pair · gpt-3.5-turbo

    positive or evaluative adjectives describing various situations or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gluc
    -0.63
    clerosis
    -0.61
     alcoholism
    -0.59
    odan
    -0.58
    iculty
    -0.57
     healthcare
    -0.57
    insula
    -0.57
    ership
    -0.57
    cknowled
    -0.56
     unemployment
    -0.55
    POSITIVE LOGITS
     enough
    0.76
    ified
    0.73
    ALLY
    0.71
    ly
    0.70
     considering
    0.70
    kill
    0.68
    oros
    0.67
    istically
    0.66
    ingly
    0.64
     Scand
    0.64
    Activations Density 0.111%

    No Known Activations