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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. 4-RES-JB
    11. 16213
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    Explanations

    words related to failure or problems

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fail" and its variations

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

    No Comments

    Negative Logits
    iliary
    -0.71
    ourt
    -0.66
     Cort
    -0.64
    ongo
    -0.63
    utra
    -0.63
    ournal
    -0.62
    andan
    -0.61
    ript
    -0.60
     Lug
    -0.60
     Jur
    -0.59
    POSITIVE LOGITS
     miser
    1.24
    ingly
    0.96
    fail
    0.88
    lect
    0.86
     catast
    0.84
     horribly
    0.84
     dism
    0.81
    afe
    0.76
     fail
    0.72
    hard
    0.72
    Activations Density 0.020%

    No Known Activations