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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. 7-RES-JB
    11. 14462
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    Explanations

    comparisons indicating a lower value or status

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NCT
    -0.78
    ieri
    -0.74
    iosyn
    -0.74
    ahime
    -0.68
    hler
    -0.67
    alter
    -0.66
    leneck
    -0.66
    ilon
    -0.65
    odium
    -0.65
    iom
    -0.65
    POSITIVE LOGITS
    DERR
    0.76
    dfx
    0.74
     externalToEVAOnly
    0.68
     SPORTS
    0.64
    anke
    0.64
     halfway
    0.63
     guesses
    0.60
     rudimentary
    0.58
     adequate
    0.56
     Channel
    0.56
    Activations Density 0.028%

    No Known Activations