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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. 20254
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    Explanations

    sequential numeric patterns

    oai_token-act-pair · gpt-3.5-turbo

    specific color codes and references related to color identification

    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
    ena
    -0.73
    atten
    -0.72
    enne
    -0.71
     reconc
    -0.68
    ensen
    -0.68
    Sov
    -0.67
     Burke
    -0.67
    hematic
    -0.67
    eva
    -0.67
     Athen
    -0.66
    POSITIVE LOGITS
     #
    1.89
    #
    1.82
     +#
    1.45
    =#
    1.38
     "#
    1.29
     (#
    1.19
     ###
    1.19
     ##
    1.17
    :#
    1.17
    .#
    1.14
    Activations Density 0.099%

    No Known Activations