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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. 11-RES-JB
    11. 3655
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    Explanations

    the pattern "Jason Ditz" preceded by the phrase "Last 5 posts by"

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant emotional expressions or impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aditional
    -0.72
     tremend
    -0.71
     newcom
    -0.69
     undermin
    -0.64
     pione
    -0.63
    isSpecial
    -0.62
    ortunately
    -0.62
     eleph
    -0.62
     hemor
    -0.59
     millenn
    -0.59
    POSITIVE LOGITS
    ³³³
    0.84
    ³³³³
    0.81
    âĢ
    0.79
    */
    0.79
    âĶĢâĶĢâĶĢâĶĢ
    0.79
    ↵
    0.76
    ̶
    0.75
    --+
    0.75
    ¶
    0.73
    Í
    0.72
    Activations Density 0.374%

    No Known Activations