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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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    INDEX
    Explanations

    mentions of wages and salary-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to wages and their variations

    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
    de
    -0.70
    DE
    -0.70
    design
    -0.70
    ANY
    -0.65
     Veh
    -0.65
    OPS
    -0.64
    DEP
    -0.63
    alogue
    -0.63
    Marie
    -0.63
    Es
    -0.63
    POSITIVE LOGITS
    paces
    1.09
    heet
    1.08
    mith
    1.07
    pring
    1.05
    hips
    1.04
    ourcing
    0.99
     payable
    0.98
    hip
    0.97
    cale
    0.94
    omething
    0.90
    Activations Density 0.028%

    No Known Activations