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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. 478
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    Explanations

    words related to worry or concern

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern or worry

    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
    adr
    -0.81
    artifacts
    -0.80
    inters
    -0.77
    availability
    -0.72
    guided
    -0.72
    ending
    -0.71
    anol
    -0.69
    ractions
    -0.67
    hew
    -0.67
    edited
    -0.66
    POSITIVE LOGITS
     worried
    1.13
     worry
    0.87
     afraid
    0.82
     citiz
    0.79
     fret
    0.77
     worrying
    0.76
     aloud
    0.76
     overe
    0.76
     scared
    0.74
    cerned
    0.72
    Activations Density 0.010%

    No Known Activations