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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. 3-RES-JB
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    Explanations

    mentions of leaders

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "leaders" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Oo
    -0.71
    OUT
    -0.62
     Pwr
    -0.62
    INGTON
    -0.61
     Mile
    -0.60
    ITNESS
    -0.60
    nery
    -0.59
    Wo
    -0.59
    LV
    -0.59
    rawdownloadcloneembedreportprint
    -0.59
    POSITIVE LOGITS
    hip
    0.99
    hips
    0.92
    paces
    0.91
    cius
    0.90
    doms
    0.85
     negotiator
    0.83
    wcs
    0.82
    stration
    0.81
    esses
    0.81
    aroo
    0.73
    Activations Density 0.022%

    No Known Activations