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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. 8885
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    INDEX
    Explanations

    statements or phrases related to speaking truth or making statements with conviction

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "speak" and its variations in context

    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
    aredevil
    -0.74
    \/\/
    -0.69
    pping
    -0.68
    arette
    -0.67
    hews
    -0.67
    imaru
    -0.67
    gart
    -0.64
     supplying
    -0.63
    ikhail
    -0.62
    berus
    -0.62
    POSITIVE LOGITS
     aloud
    1.12
     louder
    1.02
     fluent
    0.99
     loudly
    0.96
     volumes
    0.93
     softly
    0.91
     english
    0.90
     frankly
    0.85
     spoken
    0.84
     Mandarin
    0.82
    Activations Density 0.059%

    No Known Activations