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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. 1-RES-JB
    11. 22346
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    Explanations

    phone-related terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of callers and their interactions within a communication context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pieces
    -0.67
    sf
    -0.65
    apo
    -0.65
    roman
    -0.62
    rix
    -0.61
    hemat
    -0.60
     Bath
    -0.59
    egal
    -0.59
    rations
    -0.58
    âĢ¢âĢ¢
    -0.58
    POSITIVE LOGITS
     caller
    1.39
     Caller
    0.88
    backs
    0.83
     911
    0.80
     Cth
    0.79
    linger
    0.75
    call
    0.75
     calls
    0.75
    igraph
    0.75
    backer
    0.74
    Activations Density 0.006%

    No Known Activations