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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. 6925
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    oai_token-act-pair · gpt-3.5-turbo

    parenthetical expressions or acronyms in the text

    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
     hawk
    -0.70
     depress
    -0.70
     incons
    -0.66
     resur
    -0.66
     unknown
    -0.65
     elector
    -0.65
     sav
    -0.63
     glands
    -0.63
     blot
    -0.62
    iazep
    -0.62
    POSITIVE LOGITS
    UGC
    1.22
    aka
    1.20
    SG
    1.13
    BIP
    1.12
    BAT
    1.12
    also
    1.11
    including
    1.08
    which
    1.08
    NG
    1.06
    such
    1.06
    Activations Density 0.078%

    No Known Activations