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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. 6438
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    Explanations

    phrases related to achieving success or victory

    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
    iste
    -0.74
    isine
    -0.71
    ffer
    -0.66
    eele
    -0.65
     lapse
    -0.64
    idered
    -0.63
    Pages
    -0.63
    cised
    -0.63
    zik
    -0.62
    oster
    -0.60
    POSITIVE LOGITS
     battles
    0.98
     lottery
    0.91
     Pulitzer
    0.91
     contests
    0.85
     prizes
    0.83
     trophies
    0.81
    battle
    0.81
    stakes
    0.81
     hearts
    0.81
     outright
    0.78
    Activations Density 0.158%

    No Known Activations