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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. 20227
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    Explanations

    specific instances when a particular event or action is expected to occur

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" and its variations in context

    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
    lly
    -0.86
    yne
    -0.82
    ãĥĦ
    -0.81
    alus
    -0.77
    aternity
    -0.75
    puff
    -0.75
    bourg
    -0.73
    ca
    -0.71
    orate
    -0.70
    actively
    -0.70
    POSITIVE LOGITS
     doors
    1.11
     slightest
    1.06
     latter
    1.02
     dust
    1.01
     tide
    1.01
     rains
    0.98
     opportunity
    0.97
     lid
    0.96
     lights
    0.96
     gates
    0.94
    Activations Density 0.214%

    No Known Activations