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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. 1-RES-JB
    11. 7592
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Millennium
    -0.82
     Masters
    -0.76
     Lobby
    -0.73
    holm
    -0.72
     Straw
    -0.71
     Alive
    -0.70
     Suc
    -0.68
     Homes
    -0.68
    RAFT
    -0.66
     Ré
    -0.66
    POSITIVE LOGITS
    regn
    1.12
    ossibly
    1.06
    orter
    1.04
    ressing
    0.92
    orters
    0.92
    ulsive
    0.92
    ishly
    0.90
    asse
    0.90
    urred
    0.90
    orted
    0.89
    Activations Density 0.007%

    No Known Activations