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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. 3756
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    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
    anwhile
    -0.70
     compr
    -0.68
    KR
    -0.64
     Reborn
    -0.63
     Butterfly
    -0.63
     Lans
    -0.61
    lain
    -0.61
     convict
    -0.60
    FUL
    -0.60
     Dakota
    -0.60
    POSITIVE LOGITS
    igree
    1.34
    ters
    1.24
    tered
    1.16
    thy
    1.03
    tering
    1.03
    aments
    1.03
    cipled
    0.97
    terness
    0.95
    teness
    0.95
    estones
    0.92
    Activations Density 0.039%

    No Known Activations