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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. 9656
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    Explanations

    phrases related to reactions or replies

    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
    oret
    -0.72
     Dull
    -0.72
    hold
    -0.71
    lor
    -0.69
    ucket
    -0.68
    stall
    -0.68
    flo
    -0.66
    \\\\\\\\
    -0.65
    gin
    -0.64
    cester
    -0.63
    POSITIVE LOGITS
     thereto
    0.84
    ulkan
    0.73
    PsyNetMessage
    0.71
     responses
    0.71
     guiActiveUn
    0.70
     briefs
    0.68
     posture
    0.66
     response
    0.66
     objections
    0.65
    utterstock
    0.63
    Activations Density 0.026%

    No Known Activations