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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. 8-RES-JB
    11. 3103
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    Explanations

    locations or structures of importance or strength

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with locations and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.80
    lessly
    -0.68
     drunk
    -0.64
    é¾įå¥ij士
    -0.63
     dod
    -0.62
     cured
    -0.62
     sear
    -0.61
     loving
    -0.61
     Sergeant
    -0.61
    Ô
    -0.60
    POSITIVE LOGITS
    ices
    1.19
    uments
    1.17
    ations
    1.15
    estones
    1.14
    ctions
    1.13
    ancies
    1.13
    asures
    1.12
    ements
    1.10
    ences
    1.09
    aments
    1.08
    Activations Density 0.289%

    No Known Activations