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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. 2-RES-JB
    11. 19410
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    Explanations

    expressions related to being concerned or anxious about something

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ewitness
    -0.94
    artifacts
    -0.82
    arb
    -0.81
    authorized
    -0.73
    ingers
    -0.73
    dating
    -0.73
    guided
    -0.71
    assisted
    -0.71
    opening
    -0.70
     livest
    -0.70
    POSITIVE LOGITS
     worry
    1.06
    ingly
    1.03
    lessly
    0.93
     worrying
    0.85
     fret
    0.82
    warts
    0.80
     worried
    0.78
     worries
    0.76
    wart
    0.75
    lessness
    0.71
    Activations Density 0.018%

    No Known Activations