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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. 930
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and times

    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
    atis
    -0.85
    ascus
    -0.81
    nih
    -0.76
     tremend
    -0.76
    umin
    -0.73
    ĸļ
    -0.72
    itsch
    -0.71
    itzer
    -0.70
    scene
    -0.70
    etsk
    -0.69
    POSITIVE LOGITS
    th
    0.96
    arters
    0.84
     minutes
    0.81
    yrs
    0.80
     Minutes
    0.78
    rament
    0.74
    ances
    0.74
    55
    0.73
    chnology
    0.73
    82
    0.71
    Activations Density 0.039%

    No Known Activations