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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. 22884
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    Explanations

    expressions of gratitude or appreciation

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Thank you" in various contexts

    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
    ignty
    -0.67
     helicop
    -0.61
    urtle
    -0.60
     Haas
    -0.55
    atin
    -0.55
     imag
    -0.54
     displ
    -0.54
    olina
    -0.52
     assum
    -0.51
     Mig
    -0.51
    POSITIVE LOGITS
    ा
    0.69
    mbuds
    0.69
    zbek
    0.66
    quished
    0.63
    RS
    0.62
    LOCK
    0.60
     attm
    0.58
     toggle
    0.57
    Textures
    0.57
    Reviewer
    0.57
    Activations Density 0.024%

    No Known Activations