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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. 4-RES-JB
    11. 9222
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    Explanations

    specific mentions of setting up something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "set up."

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

    No Comments

    Negative Logits
    obi
    -0.79
    Brow
    -0.66
    Magn
    -0.63
    pless
    -0.63
     Browne
    -0.62
    alted
    -0.60
    cold
    -0.60
    annah
    -0.60
    onso
    -0.59
     <-
    -0.59
    POSITIVE LOGITS
     foundations
    0.77
     tents
    0.77
    olicy
    0.72
    STRUCT
    0.69
    dule
    0.68
    holders
    0.67
    dates
    0.67
    arity
    0.67
     camp
    0.67
    Interstitial
    0.67
    Activations Density 0.024%

    No Known Activations