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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. 10-RES-JB
    11. 7975
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hot
    -0.73
    listed
    -0.72
    cards
    -0.68
     quotations
    -0.67
    comments
    -0.67
     Cosponsors
    -0.66
    pict
    -0.66
    interstitial
    -0.65
    mails
    -0.64
    pointers
    -0.64
    POSITIVE LOGITS
     achieve
    1.49
     accomplish
    1.47
     ensure
    1.39
     succeed
    1.39
     survive
    1.37
     fulfill
    1.31
     solve
    1.30
     thrive
    1.27
     maximize
    1.26
     overcome
    1.25
    Activations Density 0.150%

    No Known Activations