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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. 9-RES-JB
    11. 23953
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    Explanations

    time durations indicated in minutes

    oai_token-act-pair · gpt-3.5-turbo

    multiple occurrences of numerical or time-related references within a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irie
    -0.83
    ESE
    -0.72
    tnc
    -0.70
    eering
    -0.69
    ¬¼
    -0.67
    THING
    -0.66
    ARCH
    -0.65
    Introduced
    -0.64
    §
    -0.61
    xious
    -0.61
    POSITIVE LOGITS
     depending
    1.09
    depending
    1.07
    000
    1.07
     totaling
    0.93
     respectively
    0.92
     plus
    0.88
     apiece
    0.86
    elsius
    0.85
     costing
    0.83
     preferably
    0.82
    Activations Density 0.251%

    No Known Activations