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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. 11-RES-JB
    11. 3548
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    INDEX
    Explanations

    mentions of governmental regulations and technological advancements

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to social and community awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nope
    -0.80
     dummy
    -0.68
    pure
    -0.66
    Legend
    -0.64
    killer
    -0.64
     Stones
    -0.64
    Yep
    -0.64
    Boo
    -0.64
    Exit
    -0.63
     Vanilla
    -0.63
    POSITIVE LOGITS
     grappling
    1.20
     grapp
    1.16
     grapple
    1.14
     acutely
    1.12
     urgently
    1.08
     need
    1.02
     increasingly
    1.02
     sensit
    0.99
     challenges
    0.96
     strive
    0.96
    Activations Density 0.517%

    No Known Activations