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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. 11-RES-JB
    11. 991
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    Explanations

    numbers within a specific range

    oai_token-act-pair · gpt-3.5-turbo

    numerical references related to time or duration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Gael
    -0.73
     Levant
    -0.66
     ``
    -0.65
     Edmund
    -0.64
     ``(
    -0.62
    eering
    -0.59
     ÂŃ
    -0.58
     Nine
    -0.57
     notwithstanding
    -0.57
     Pearce
    -0.57
    POSITIVE LOGITS
    nd
    1.25
    rd
    1.21
    yrs
    1.13
    WD
    1.07
    months
    1.06
    x
    1.05
    RD
    1.02
    wd
    1.01
    hr
    1.01
    âĺħ
    0.99
    Activations Density 0.944%

    No Known Activations