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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. 11356
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    Explanations

    mentions of medical conditions or medical treatments

    oai_token-act-pair · gpt-3.5-turbo

    references to vitality and related concepts

    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
    UTH
    -0.72
    Commerce
    -0.72
    ©¶æ
    -0.70
    redits
    -0.69
    ORK
    -0.68
    bell
    -0.67
    é¾
    -0.66
    ATT
    -0.66
    tower
    -0.66
    URA
    -0.65
    POSITIVE LOGITS
    ity
    0.97
    ization
    0.94
    ital
    0.93
    isation
    0.92
    ities
    0.89
    isations
    0.89
    icals
    0.88
    tarian
    0.88
    istically
    0.84
    ized
    0.84
    Activations Density 0.013%

    No Known Activations