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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. 7-RES-JB
    11. 19348
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    Explanations

    wordings like "is available" or "is located" and similar passive voice structures

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating the existence or availability of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wishes
    -0.66
     traged
    -0.64
     stare
    -0.64
     pile
    -0.59
    might
    -0.58
    */
    -0.58
     chops
    -0.58
     residues
    -0.58
    iating
    -0.57
     stump
    -0.57
    POSITIVE LOGITS
    rael
    1.15
    senal
    1.06
     hereby
    0.94
     rated
    0.92
     comprised
    0.91
     located
    0.89
     slated
    0.86
    formerly
    0.83
     billed
    0.83
     modeled
    0.80
    Activations Density 0.318%

    No Known Activations