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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. 12-RES-JB
    11. 3995
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    INDEX
    Explanations

    numerical data related to statistics and percentages

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    quantitative data regarding crime statistics and economic impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.62
    channelAvailability
    -0.59
    atan
    -0.57
     {*
    -0.53
    ?".
    -0.52
    ducers
    -0.51
    iman
    -0.50
    lining
    -0.50
     Pict
    -0.47
    ":""},{"
    -0.47
    POSITIVE LOGITS
    71
    1.45
    79
    1.45
    74
    1.44
    81
    1.43
    62
    1.43
    73
    1.43
    63
    1.43
    76
    1.43
    84
    1.42
    72
    1.42
    Activations Density 0.206%

    No Known Activations