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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. 12528
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to expertise or mastery in various fields

    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
    vernment
    -0.83
    OPLE
    -0.74
    vati
    -0.67
    IDER
    -0.64
    omen
    -0.63
     Torn
    -0.63
     Rodham
    -0.62
    ATIONS
    -0.61
    AAF
    -0.60
     Lima
    -0.59
    POSITIVE LOGITS
    pieces
    1.61
    piece
    1.41
    mind
    1.27
    stroke
    1.18
    classes
    1.17
    class
    1.14
    minded
    1.05
    ful
    1.03
    fully
    1.02
    plan
    0.96
    Activations Density 0.033%

    No Known Activations