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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. 10208
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    Explanations

    phrases related to sports and games

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    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
    blank
    -0.70
    window
    -0.69
    Load
    -0.67
    mons
    -0.67
    Shut
    -0.67
    zip
    -0.66
    screen
    -0.64
    host
    -0.63
    Times
    -0.63
    LOCK
    -0.62
    POSITIVE LOGITS
     hence
    1.24
     consequently
    1.16
     therefore
    1.12
     secondly
    1.09
     thus
    1.05
     although
    0.95
     furthermore
    0.93
     then
    0.91
     moreover
    0.90
     thereby
    0.89
    Activations Density 0.706%

    No Known Activations