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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
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    Explanations

    phrases containing the word "talking" followed by a description of a specific topic or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "talking about."

    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
    imon
    -0.81
    hews
    -0.79
    aura
    -0.69
    antha
    -0.69
    iver
    -0.65
    falls
    -0.65
    iverpool
    -0.64
    omaly
    -0.64
    hee
    -0.62
    omal
    -0.59
    POSITIVE LOGITS
     about
    0.72
     figur
    0.71
     purely
    0.70
     specifically
    0.69
     literal
    0.65
     kidding
    0.64
    literally
    0.63
     ABOUT
    0.62
     strictly
    0.60
     exclusively
    0.60
    Activations Density 0.095%

    No Known Activations