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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. 24018
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    INDEX
    Explanations

    mentions of job titles or positions held in various organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to professional roles and accomplishments

    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
    OULD
    -0.84
     Canaver
    -0.79
    =-=-=-=-=-=-=-=-
    -0.69
    rians
    -0.69
     )]
    -0.66
    ļé
    -0.65
    annot
    -0.63
     ado
    -0.63
    estamp
    -0.63
    "))
    -0.62
    POSITIVE LOGITS
     during
    0.82
     until
    0.78
     alongside
    0.75
     unsuccessfully
    0.73
    ĸļ
    0.72
     before
    0.70
     Yugoslavia
    0.67
     graduating
    0.67
     respectively
    0.66
     stint
    0.66
    Activations Density 0.695%

    No Known Activations