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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. 3-RES-JB
    11. 4363
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    Explanations

    words related to recognition or acknowledgment of achievement or merit

    oai_token-act-pair · gpt-3.5-turbo

    references to awards and honors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    TPS
    -0.77
    FACE
    -0.75
     Sack
    -0.73
    pmwiki
    -0.69
     Axis
    -0.69
    mia
    -0.68
    Else
    -0.68
    BOOK
    -0.68
     Reaction
    -0.67
     Atlantis
    -0.65
    POSITIVE LOGITS
    olulu
    1.12
     hon
    1.11
    ours
    0.92
    ouri
    0.90
    illed
    0.88
    ision
    0.85
    uay
    0.85
    animous
    0.85
    ific
    0.83
    rie
    0.82
    Activations Density 0.007%

    No Known Activations