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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. 1572
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    Explanations

    dates written in a specific format, possibly within a sequence, such as dates at the beginning or end of a segment of text

    oai_token-act-pair · gpt-3.5-turbo

    numeric data and references to specific entities or events

    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
    Reviewer
    -0.73
    ."[
    -0.71
    .")
    -0.69
    .'"
    -0.68
    !'"
    -0.67
    stro
    -0.66
    ");
    -0.64
    ".[
    -0.62
    redo
    -0.62
    ocations
    -0.61
    POSITIVE LOGITS
     autos
    0.66
     Located
    0.65
     âĵĺ
    0.62
    aea
    0.61
     hers
    0.60
     Koen
    0.60
    ĪĴ
    0.60
    ?????-
    0.59
     TBD
    0.58
     Ember
    0.58
    Activations Density 0.778%

    No Known Activations