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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. 3-RES-JB
    11. 11399
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    INDEX
    Explanations

    adjectives describing a positive or desirable quality

    oai_token-act-pair · gpt-3.5-turbo

    words associated with actions and movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     raft
    -0.70
     Refuge
    -0.65
     LW
    -0.65
     Factor
    -0.63
     constitu
    -0.61
     Jericho
    -0.61
     cue
    -0.61
     Gunn
    -0.61
     Flavoring
    -0.60
     WS
    -0.60
    POSITIVE LOGITS
    ciating
    1.27
    icio
    0.96
    ukes
    0.82
    idated
    0.80
    igham
    0.78
    abal
    0.78
    rette
    0.77
    hei
    0.77
    antes
    0.76
    ierre
    0.75
    Activations Density 0.089%

    No Known Activations