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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. 2537
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    INDEX
    Explanations

    mentions of specific locations

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific entity or title in a narrative context

    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
     Alam
    -0.70
     loft
    -0.68
     decom
    -0.65
     satell
    -0.65
     deposition
    -0.64
    yton
    -0.64
     Canaveral
    -0.62
     mosqu
    -0.61
     heav
    -0.60
     arming
    -0.59
    POSITIVE LOGITS
    NET
    0.89
    INAL
    0.79
     captcha
    0.74
    BOOK
    0.74
    iframe
    0.72
    hene
    0.72
     Sob
    0.71
    utical
    0.70
    ":"/
    0.69
    atsu
    0.68
    Activations Density 0.000%

    No Known Activations