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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. 16117
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    INDEX
    Explanations

    verbs and phrases indicating suggestion or implication

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating inference or recommendations based on evidence

    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
    fare
    -0.71
    aliation
    -0.71
    via
    -0.70
    kai
    -0.67
    ccording
    -0.67
    eatured
    -0.64
    vin
    -0.62
    vard
    -0.62
    WHERE
    -0.61
     Lak
    -0.61
    POSITIVE LOGITS
    ible
    0.82
    ively
    0.82
    ibility
    0.77
    uggest
    0.71
    IONS
    0.70
    ered
    0.70
    ifiable
    0.70
    kinson
    0.66
    ibly
    0.65
    ibilities
    0.65
    Activations Density 0.033%

    No Known Activations