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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. 11-RES-JB
    11. 2489
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to specific languages or linguistic features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     OCT
    -0.70
     DEC
    -0.70
     antiv
    -0.65
     TW
    -0.64
    GD
    -0.63
     GD
    -0.63
     CH
    -0.62
     GRE
    -0.61
     INTER
    -0.60
     DIRECT
    -0.60
    POSITIVE LOGITS
    aneers
    1.17
    oppers
    1.02
    idation
    1.01
    adoes
    1.00
    iasis
    0.99
    aters
    0.99
    aints
    0.98
    ades
    0.97
    oses
    0.97
    uments
    0.97
    Activations Density 0.215%

    No Known Activations