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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. 8-RES-JB
    11. 11650
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    Explanations

    expressions of gratitude or appreciation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chart
    -0.65
    iche
    -0.63
    conserv
    -0.62
     displ
    -0.59
    umbers
    -0.58
    destruct
    -0.58
    act
    -0.58
    surv
    -0.57
    ura
    -0.57
    uel
    -0.56
    POSITIVE LOGITS
     sir
    1.03
     kindly
    0.92
     thank
    0.85
    giving
    0.85
     gracious
    0.83
     guys
    0.82
     Thank
    0.78
    rats
    0.78
     welcome
    0.78
     THANK
    0.77
    Activations Density 0.044%

    No Known Activations