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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. 1-RES-JB
    11. 22771
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    Explanations

    phrases involving the expression of opinions or emotions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expressing opinions or feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dry
    -0.73
    behind
    -0.71
    footed
    -0.67
    ummies
    -0.67
    izons
    -0.66
    atch
    -0.66
    ppa
    -0.66
    assic
    -0.65
    sighted
    -0.64
    ammy
    -0.64
    POSITIVE LOGITS
     expressing
    0.99
    express
    0.80
     Expression
    0.79
     express
    0.78
     guiActiveUn
    0.78
    ãģį
    0.78
    soType
    0.77
    ATIONS
    0.77
     expresses
    0.76
     expressions
    0.75
    Activations Density 0.008%

    No Known Activations