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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 18235
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    Explanations

    the word "bothered" at varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    the word "bothered" and its variations in different contexts

    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
    arta
    -0.98
    rams
    -0.98
    arb
    -0.90
    entric
    -0.83
    sol
    -0.77
    INAL
    -0.76
    ende
    -0.75
    ramer
    -0.75
    uties
    -0.74
    imb
    -0.72
    POSITIVE LOGITS
     bothered
    1.41
     bother
    1.35
     bothering
    1.27
     bothers
    1.11
    vier
    0.77
     detract
    0.74
     vex
    0.73
     underestimate
    0.73
     annoyed
    0.71
    ĸļ
    0.70
    Activations Density 0.006%

    No Known Activations