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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. 9-RES-JB
    11. 23886
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    Explanations

    mentions of worry and relief from worry

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "worry" or expressions of concern related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chnology
    -0.79
    ewitness
    -0.74
    arb
    -0.69
    utics
    -0.68
    avor
    -0.64
    eele
    -0.64
    avour
    -0.64
     complement
    -0.63
    asus
    -0.63
    ingers
    -0.62
    POSITIVE LOGITS
     about
    1.16
     ABOUT
    1.09
    lessly
    1.06
    warts
    1.03
    ingly
    1.02
    wart
    0.97
     About
    0.84
     fret
    0.83
     lest
    0.81
    about
    0.81
    Activations Density 0.024%

    No Known Activations