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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. 11-RES-JB
    11. 22015
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    Explanations

    actions or events that are notable or significant within a narrative

    oai_token-act-pair · gpt-3.5-turbo

    actions and events occurring in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quartered
    -0.76
    taboola
    -0.73
    =~=~
    -0.67
    arta
    -0.66
    negie
    -0.65
    window
    -0.63
    particularly
    -0.63
    interface
    -0.61
    arers
    -0.61
    banks
    -0.60
    POSITIVE LOGITS
     another
    1.33
    another
    1.05
     again
    1.01
     something
    0.97
     anew
    0.97
     TWO
    0.91
     THREE
    0.87
     hers
    0.77
     his
    0.76
     Another
    0.75
    Activations Density 0.333%

    No Known Activations