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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. 18520
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    Explanations

    names of individuals and specific places or entities

    oai_token-act-pair · gpt-3.5-turbo

    entities related to prominent public figures and organizations, particularly in relation to politics and society

    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
     omit
    -0.55
    fters
    -0.54
    ©¶æ
    -0.54
    Topics
    -0.53
     disparate
    -0.50
    fter
    -0.50
    rocal
    -0.50
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.49
    alyses
    -0.49
     contemporaries
    -0.49
    POSITIVE LOGITS
    *.
    0.89
    .[
    0.85
    .</
    0.84
    .
    0.84
    _.
    0.82
    .ãĢį
    0.79
     itself
    0.78
    .–
    0.78
    !.
    0.76
    !!!!!!!!
    0.75
    Activations Density 1.011%

    No Known Activations