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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. 13119
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    INDEX
    Explanations

    expressions or statements related to concern or anxiety

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern or anxiety

    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
    ewitness
    -0.79
    arb
    -0.76
    artifacts
    -0.76
    assisted
    -0.75
    umption
    -0.74
    inters
    -0.72
    guided
    -0.70
    availability
    -0.69
    eval
    -0.69
    pled
    -0.67
    POSITIVE LOGITS
     worry
    1.18
    ingly
    1.07
    lessly
    0.93
     fret
    0.89
     worrying
    0.89
     worried
    0.82
    warts
    0.80
     worries
    0.79
     aloud
    0.73
    wart
    0.70
    Activations Density 0.010%

    No Known Activations