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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. 6-RES-JB
    11. 10979
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    Explanations

    phrases indicating a cause or explanation of a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate conclusions or reductions to core ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    notations
    -0.73
    handled
    -0.71
    went
    -0.67
    igham
    -0.67
    notation
    -0.66
    vind
    -0.66
    ischer
    -0.65
    iott
    -0.65
    hop
    -0.64
    cens
    -0.63
    POSITIVE LOGITS
     basics
    0.69
     earth
    0.69
     ashes
    0.68
    ãĤ©
    0.65
     brass
    0.65
    QL
    0.62
     Pieces
    0.61
     baseline
    0.60
     paste
    0.59
     milliseconds
    0.59
    Activations Density 0.045%

    No Known Activations