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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. 2694
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    INDEX
    Explanations

    mentions of specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or places

    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
    ized
    -0.74
    selves
    -0.73
    ĨĴ
    -0.73
    izes
    -0.72
    ization
    -0.71
     tongues
    -0.71
    xual
    -0.71
    ated
    -0.68
    vironment
    -0.67
     Monstrous
    -0.66
    POSITIVE LOGITS
    enh
    0.95
    insky
    0.94
    low
    0.92
    orius
    0.86
    ynski
    0.85
    hani
    0.85
    ell
    0.84
    kowski
    0.84
    flex
    0.83
    endor
    0.83
    Activations Density 0.104%

    No Known Activations