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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15130
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of trademarks or brand names

    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
    gie
    -0.67
    hold
    -0.64
    gets
    -0.61
     wi
    -0.60
     thumbs
    -0.59
     tipped
    -0.58
    rend
    -0.58
     Beg
    -0.57
    aways
    -0.57
     Hath
    -0.56
    POSITIVE LOGITS
    useum
    1.17
    ISSION
    1.16
    ORPG
    1.14
    ONEY
    1.09
    essage
    1.03
    obile
    1.03
    EGA
    1.03
    ilitary
    1.01
    ODE
    1.01
    ETHOD
    1.01
    Activations Density 0.097%

    No Known Activations