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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. 4-RES-JB
    11. 10890
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    Explanations

    specific days mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days or time sequences

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

    No Comments

    Negative Logits
    acus
    -0.71
    olit
    -0.64
     guiActiveUn
    -0.63
    opic
    -0.60
    omething
    -0.59
    ogly
    -0.59
     brace
    -0.59
    ktop
    -0.58
     quint
    -0.58
    kind
    -0.58
    POSITIVE LOGITS
    orate
    0.79
    Fax
    0.77
    aneously
    0.72
    noon
    0.72
    anwhile
    0.70
     Gazette
    0.67
    she
    0.67
    lier
    0.66
    imester
    0.66
     Sabbath
    0.65
    Activations Density 0.059%

    No Known Activations