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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. 8-RES-JB
    11. 7227
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    Explanations

    phrases related to challenges or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating difficulties or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andum
    -0.89
    ations
    -0.88
    lda
    -0.86
    wagen
    -0.84
    ably
    -0.82
    atis
    -0.81
    able
    -0.79
    ghazi
    -0.77
    andom
    -0.77
    gart
    -0.77
    POSITIVE LOGITS
    lisher
    0.67
    ritten
    0.64
    SourceFile
    0.61
    s
    0.61
    LINE
    0.60
    ractive
    0.60
     predec
    0.59
     projector
    0.58
     CLIENT
    0.58
    Laughs
    0.57
    Activations Density 0.139%

    No Known Activations