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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 754
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    Explanations

    words related to involvement in specific activities or situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "involve" and its variations, indicating discussions about participation or requirements in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TI
    -0.70
     skies
    -0.64
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
    onew
    -0.61
    hat
    -0.61
    apult
    -0.59
    rift
    -0.58
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.58
    century
    -0.58
    aver
    -0.58
    POSITIVE LOGITS
    ioned
    0.78
     involving
    0.73
    cius
    0.71
    licts
    0.71
    ments
    0.68
    olved
    0.68
    olves
    0.67
    qv
    0.65
    itaire
    0.64
    ional
    0.64
    Activations Density 0.034%

    No Known Activations