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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. 13158
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    Explanations

    phrases related to truth and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to truth, decision-making, and problem-solving

    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
    yrs
    -0.68
     democr
    -0.65
     mourning
    -0.65
     multip
    -0.63
     nuns
    -0.63
    audi
    -0.62
     interns
    -0.62
    arnaev
    -0.61
    BuyableInstoreAndOnline
    -0.60
     Bom
    -0.60
    POSITIVE LOGITS
     aloud
    1.01
     beforehand
    1.01
     verbally
    0.93
    fulness
    0.87
    !.
    0.84
     unconsciously
    0.84
     whilst
    0.83
     instantly
    0.81
     orally
    0.79
    .","
    0.78
    Activations Density 0.534%

    No Known Activations