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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. 9969
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    Explanations

    phrases containing the word "such"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce examples

    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
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    Negative Logits
    orem
    -0.60
    oret
    -0.59
     somew
    -0.59
    rique
    -0.57
    onel
    -0.55
    olute
    -0.54
    YR
    -0.54
     Accessed
    -0.53
     succeeding
    -0.53
    achus
    -0.50
    POSITIVE LOGITS
     as
    0.94
    as
    0.92
    ties
    0.84
    ities
    0.70
    asma
    0.67
    Flag
    0.64
    As
    0.63
    MpServer
    0.62
     As
    0.62
    Marx
    0.61
    Activations Density 0.041%

    No Known Activations