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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. 10-RES-JB
    11. 4747
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nels
    -0.82
     Kills
    -0.79
    pps
    -0.73
    stones
    -0.71
    pse
    -0.70
    Ô
    -0.69
    Enlarge
    -0.69
    pieces
    -0.69
    ãĤ°
    -0.69
    changes
    -0.69
    POSITIVE LOGITS
     importance
    1.00
     interest
    0.99
     persuasion
    0.97
     significance
    0.96
     varying
    0.96
     omission
    0.93
     decency
    0.91
     conscience
    0.91
     intrigue
    0.88
     commerce
    0.88
    Activations Density 0.201%

    No Known Activations