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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. 12081
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    Explanations

    words related to imperfections and errors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to defects and imperfections

    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
    bered
    -0.66
    rix
    -0.65
    atri
    -0.64
     procession
    -0.63
    reat
    -0.63
    cend
    -0.63
    ggie
    -0.62
    cery
    -0.62
     Loc
    -0.62
    ridor
    -0.61
    POSITIVE LOGITS
     flaws
    3.78
     weaknesses
    2.92
     faults
    2.83
     shortcomings
    2.79
     failings
    2.58
     deficiencies
    2.36
     defects
    2.30
     vulnerabilities
    2.25
     inconsistencies
    2.01
     mistakes
    1.97
    Activations Density 0.026%

    No Known Activations