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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. 23090
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    Explanations

    phrases indicating problems or issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss problems or issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    artney
    -0.73
    avement
    -0.70
    erved
    -0.66
     Annotations
    -0.66
    rir
    -0.66
    Represent
    -0.62
    ilings
    -0.62
    TIT
    -0.60
    solete
    -0.60
    otor
    -0.59
    POSITIVE LOGITS
     is
    0.94
     arises
    0.93
     however
    0.90
     isn
    0.86
     thing
    0.84
     lies
    0.83
     takeaway
    0.81
     caveat
    0.80
     problem
    0.80
     downside
    0.78
    Activations Density 0.136%

    No Known Activations