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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. 5537
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    Explanations

    phrases related to questioning or challenging situations

    oai_token-act-pair · gpt-3.5-turbo

    references to directives or calls for action

    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
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    Negative Logits
     lett
    -0.56
     Speech
    -0.55
     mailing
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     emanc
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     voluntarily
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     humane
    -0.52
     Continent
    -0.52
     Discrimination
    -0.50
     Ide
    -0.50
     appellant
    -0.50
    POSITIVE LOGITS
    itably
    0.71
    ues
    0.70
    âĤ¬
    0.69
    iously
    0.69
    geon
    0.69
    't
    0.69
    externalActionCode
    0.68
    shadow
    0.68
    handled
    0.67
    ited
    0.66
    Activations Density 0.391%

    No Known Activations