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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. 3-RES-JB
    11. 20049
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    Explanations

    content related to failures or things not working as intended

    oai_token-act-pair · gpt-3.5-turbo

    terms related to failure in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourt
    -0.68
    Revolution
    -0.66
    iliary
    -0.66
    ournal
    -0.64
    selves
    -0.64
    enfranch
    -0.63
    onen
    -0.62
     Oo
    -0.62
    Austral
    -0.62
    angible
    -0.61
    POSITIVE LOGITS
     miser
    1.16
    ingly
    0.97
    fail
    0.94
    lect
    0.89
     dism
    0.83
     fail
    0.82
     catast
    0.76
     failures
    0.74
     failure
    0.73
    lessly
    0.73
    Activations Density 0.020%

    No Known Activations