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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. 13450
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    Explanations

    expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and appreciation

    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
     displ
    -0.62
    weeney
    -0.61
    boats
    -0.60
    improve
    -0.60
    tackle
    -0.60
    ikuman
    -0.57
    imposed
    -0.56
    practice
    -0.55
    ebted
    -0.54
     territory
    -0.54
    POSITIVE LOGITS
     kindly
    0.88
     very
    0.84
     sincerely
    0.81
     dearly
    0.81
     VERY
    0.80
     immensely
    0.77
     sir
    0.76
     enormously
    0.76
     guys
    0.76
     for
    0.76
    Activations Density 0.040%

    No Known Activations