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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6039
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    inator
    -0.77
    unia
    -0.77
    ivating
    -0.70
    ivated
    -0.70
    seless
    -0.69
     force
    -0.67
    selage
    -0.66
     fireplace
    -0.65
     cultivated
    -0.63
     wisdom
    -0.63
    POSITIVE LOGITS
     Shards
    0.85
     (*
    0.79
    TON
    0.78
    âĢł
    0.76
    bah
    0.76
    AUT
    0.76
    FREE
    0.75
    (*
    0.75
    Thompson
    0.74
    /-
    0.73
    Activations Density 0.016%

    No Known Activations