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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. 19715
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    Explanations

    quotations from conversations or text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of quotation marks

    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
     allied
    -0.87
     moder
    -0.81
     revers
    -0.78
     disag
    -0.78
     safegu
    -0.78
     complement
    -0.75
     plaus
    -0.75
     distinguished
    -0.74
     defending
    -0.74
     innov
    -0.74
    POSITIVE LOGITS
    My
    1.62
    I
    1.54
    Everybody
    1.45
    They
    1.45
    Everything
    1.43
    When
    1.42
    Someone
    1.41
    Suddenly
    1.39
    Dad
    1.39
    Sometimes
    1.38
    Activations Density 0.117%

    No Known Activations