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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. 4-RES-JB
    11. 9195
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    faced
    -0.80
    important
    -0.76
    mask
    -0.76
    isec
    -0.75
    aqu
    -0.75
    empl
    -0.72
    facing
    -0.71
    asive
    -0.70
    imens
    -0.70
    ideos
    -0.70
    POSITIVE LOGITS
     afar
    1.12
     abroad
    1.04
     whence
    0.87
     scratch
    0.87
     thence
    0.84
     anywhere
    0.81
     Dominion
    0.73
     Corpus
    0.72
     somewhere
    0.70
     Trader
    0.68
    Activations Density 0.101%

    No Known Activations