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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. 6585
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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 @ 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
     Cohn
    -0.95
     Fein
    -0.92
    anche
    -0.85
    Bow
    -0.83
     Bowman
    -0.82
     Bol
    -0.81
    idth
    -0.80
     balloon
    -0.76
     broccoli
    -0.76
    Haw
    -0.75
    POSITIVE LOGITS
     Rem
    1.71
    Rem
    1.47
     rem
    1.40
     REM
    1.34
    rem
    1.27
     Masters
    1.26
     Master
    1.21
    Master
    1.17
     masters
    1.10
     Remastered
    1.09
    Activations Density 0.246%

    No Known Activations