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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. 0-RES-JB
    11. 14686
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    Explanations

    phrases related to challenges or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    references to personal or societal challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     signal
    -0.70
    ript
    -0.65
    pak
    -0.65
    oned
    -0.65
    lde
    -0.64
    rame
    -0.63
     maximum
    -0.63
    Alert
    -0.63
     permanent
    -0.63
     Inform
    -0.62
    POSITIVE LOGITS
     struggles
    3.58
     woes
    1.79
     struggled
    1.59
     frustrations
    1.59
     struggle
    1.52
     Stru
    1.49
     experiences
    1.47
     hardships
    1.45
     failings
    1.45
     difficulties
    1.42
    Activations Density 0.006%

    No Known Activations