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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
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    Explanations

    specific mentions of conference calls

    oai_token-act-pair · gpt-3.5-turbo

    instances of "conference call"

    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
     Fiction
    -0.70
     concentration
    -0.67
     ferment
    -0.66
     Flavoring
    -0.65
     istg
    -0.63
    inth
    -0.63
    bourne
    -0.63
     unden
    -0.63
     inh
    -0.62
    bilt
    -0.61
    POSITIVE LOGITS
    backs
    1.24
    call
    1.15
    igraph
    0.89
    oused
    0.88
     911
    0.86
     calls
    0.86
     Niet
    0.83
    Call
    0.82
    aires
    0.81
    aghan
    0.80
    Activations Density 0.034%

    No Known Activations