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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. 6510
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    INDEX
    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the presence of names and references to specific individuals or entities

    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
     Smy
    -0.87
    tm
    -0.83
     plastics
    -0.79
     TOM
    -0.76
     tob
    -0.76
     transcript
    -0.73
    tch
    -0.72
     Twins
    -0.72
     Tob
    -0.72
     Parts
    -0.72
    POSITIVE LOGITS
    au
    1.37
     Hau
    1.16
     Lau
    1.15
    auri
    1.08
     Kau
    1.08
     Kaufman
    1.01
     Sau
    1.00
    aukee
    0.99
     Au
    0.99
    ahu
    0.97
    Activations Density 0.420%

    No Known Activations