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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. 10-RES-JB
    11. 5390
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    Explanations

    words related to amazement or admiration

    oai_token-act-pair · gpt-3.5-turbo

    expressions of wonder and appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pse
    -0.74
    soever
    -0.70
    erenn
    -0.63
    XY
    -0.61
     predicate
    -0.59
     bona
    -0.59
    buster
    -0.58
    iminary
    -0.57
    FIELD
    -0.55
    dar
    -0.55
    POSITIVE LOGITS
     how
    2.27
    how
    1.94
     HOW
    1.61
     why
    1.57
     How
    1.45
    why
    1.44
    How
    1.37
    HOW
    1.34
     WHY
    1.26
     what
    1.13
    Activations Density 0.577%

    No Known Activations