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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. 3-RES-JB
    11. 17826
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    Explanations

    references to the word "candle"

    oai_token-act-pair · gpt-3.5-turbo

    references to candidates and candidacy throughout various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.96
    HF
    -0.77
    ãĤ´ãĥ³
    -0.70
    Ô
    -0.68
     pity
    -0.67
    anwhile
    -0.67
    FactoryReloaded
    -0.66
     ENTER
    -0.65
    ORGE
    -0.64
    lihood
    -0.64
    POSITIVE LOGITS
    idates
    1.31
    lest
    0.94
    idate
    0.93
    encies
    0.89
    cand
    0.85
    rose
    0.85
    len
    0.84
    illo
    0.82
    les
    0.82
    reon
    0.82
    Activations Density 0.006%

    No Known Activations