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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. 7-RES-JB
    11. 11455
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    Explanations

    the word "especially" and its associated context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize particular points or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ences
    -0.73
    stood
    -0.68
    recy
    -0.66
    fee
    -0.66
    file
    -0.66
    atre
    -0.66
    bridge
    -0.66
    perate
    -0.64
    dl
    -0.64
    retched
    -0.63
    POSITIVE LOGITS
     considering
    0.93
     insofar
    0.80
     since
    0.73
     given
    0.69
    given
    0.67
     egregious
    0.66
     rewarding
    0.65
     compared
    0.65
     though
    0.62
     mentioning
    0.62
    Activations Density 0.034%

    No Known Activations