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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. 7-RES-JB
    11. 17968
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    INDEX
    Explanations

    phrases indicating the truth or fact

    oai_token-act-pair · gpt-3.5-turbo

    assertions or statements of fact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    throp
    -0.86
    icipated
    -0.73
    iates
    -0.65
    andise
    -0.65
    acies
    -0.64
    uld
    -0.64
    asts
    -0.64
    oided
    -0.63
    adesh
    -0.62
    rongh
    -0.61
    POSITIVE LOGITS
     neither
    0.81
     nothing
    0.77
     none
    0.76
     not
    0.75
     plainly
    0.72
     still
    0.71
     hardly
    0.71
     rarely
    0.70
     legion
    0.68
     unclear
    0.68
    Activations Density 0.095%

    No Known Activations