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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. 1750
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    Explanations

    dates expressed as month and year

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts throughout the text

    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
     Saying
    -0.87
     Sure
    -0.72
    Think
    -0.68
     Doing
    -0.66
    ieve
    -0.63
     Want
    -0.62
    addons
    -0.62
    dding
    -0.62
    Say
    -0.61
    seeing
    -0.60
    POSITIVE LOGITS
     lasted
    1.32
     consisted
    1.19
     culminated
    1.18
     underwent
    1.18
     involves
    1.12
     belonged
    1.12
     lasts
    1.11
     resulted
    1.11
     consists
    1.11
     occurred
    1.10
    Activations Density 0.318%

    No Known Activations