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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. 9-RES-JB
    11. 6052
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    Explanations

    mentions of the name "Lindsey" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific political figures and their associations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.73
    oward
    -0.70
    istry
    -0.70
    istically
    -0.69
    romy
    -0.68
    istor
    -0.67
    ressing
    -0.66
    ography
    -0.65
    isher
    -0.65
    imately
    -0.64
    POSITIVE LOGITS
    hips
    1.38
    «
    0.98
    ª
    0.93
    KER
    0.84
    ¸
    0.84
    TER
    0.84
    Ĩ
    0.83
    ¶
    0.82
    ´
    0.80
    zeb
    0.77
    Activations Density 0.132%

    No Known Activations