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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. 17554
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    Explanations

    syntactic errors in coding syntax

    oai_token-act-pair · gpt-3.5-turbo

    terms related to syntax or syntactic structures

    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
    balls
    -0.91
    onne
    -0.70
    ball
    -0.69
    arding
    -0.68
     Bers
    -0.68
    FontSize
    -0.67
     Bucks
    -0.66
    agement
    -0.65
    BIP
    -0.64
     Peninsula
    -0.64
    POSITIVE LOGITS
    hetics
    0.94
    mbol
    0.93
    ntax
    0.92
    hetic
    0.91
    hesis
    0.90
    ethy
    0.83
     aperture
    0.81
     Synt
    0.80
    yles
    0.79
     synthes
    0.78
    Activations Density 0.096%

    No Known Activations