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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. 2626
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    Explanations

    references to a specific telecommunications company

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "AT&T"

    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
    pressure
    -0.70
    perse
    -0.69
    ingen
    -0.65
    hov
    -0.62
     pandemonium
    -0.60
    ppelin
    -0.59
    itives
    -0.58
    haven
    -0.58
     solitary
    -0.58
    pas
    -0.56
    POSITIVE LOGITS
    &
    1.23
    Ms
    1.06
    mega
    1.00
    tiny
    0.99
    LAN
    0.94
    rix
    0.92
    Vs
    0.91
    CC
    0.91
    ARI
    0.90
    OM
    0.87
    Activations Density 0.018%

    No Known Activations