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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. 1-RES-JB
    11. 7120
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    INDEX
    Explanations

    references to CSS media queries

    oai_token-act-pair · gpt-3.5-turbo

    references to media-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ought
    -0.83
     Salvador
    -0.72
    thens
    -0.72
    ranch
    -0.71
    outine
    -0.67
    ultimate
    -0.66
    0000000000000000
    -0.66
    0000000
    -0.66
    Constructed
    -0.66
    comings
    -0.64
    POSITIVE LOGITS
     Media
    1.08
    Media
    0.98
    medi
    0.95
     Mole
    0.92
    media
    0.90
    wiki
    0.84
    eval
    0.83
     mog
    0.82
     outlets
    0.81
    imedia
    0.81
    Activations Density 0.009%

    No Known Activations