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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. 0-RES-JB
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pis
    -0.63
    ADE
    -0.62
     Nak
    -0.60
     sourced
    -0.60
     Tem
    -0.59
     Jade
    -0.59
     tent
    -0.59
     Cald
    -0.58
     Greenwood
    -0.57
     Short
    -0.57
    POSITIVE LOGITS
    roph
    4.64
    rophic
    2.17
    rop
    1.73
    rogen
    1.41
    rophe
    1.41
    rolog
    1.39
    ros
    1.30
    oph
    1.29
    rom
    1.29
    rosc
    1.27
    Activations Density 0.017%

    No Known Activations