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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. 13599
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    Explanations

    words related to specific names or topics, particularly related to a potential candidate or event called "Candle"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or terms related to "Cand" or "Candle."

    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
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.97
    HF
    -0.72
    ãĤ´ãĥ³
    -0.70
     ENTER
    -0.67
    lihood
    -0.67
     pity
    -0.67
    Ô
    -0.66
    anwhile
    -0.65
     CONTROL
    -0.64
    ORGE
    -0.63
    POSITIVE LOGITS
    idates
    1.28
    lest
    1.01
    encies
    0.91
    reon
    0.89
    idate
    0.89
    illo
    0.88
    acies
    0.86
    les
    0.85
    rose
    0.84
    rites
    0.83
    Activations Density 0.009%

    No Known Activations