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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. 0-RES-JB
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    Explanations

    adjectives indicating a strong emotional response or impact

    oai_token-act-pair · gpt-3.5-turbo

    terms expressing various forms of "fulness."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shoot
    -0.58
    USH
    -0.55
     Retail
    -0.54
     exiled
    -0.54
     Kane
    -0.54
     KO
    -0.54
     nominated
    -0.53
     Boone
    -0.53
     Ramsey
    -0.51
     convention
    -0.51
    POSITIVE LOGITS
    ful
    4.60
    FUL
    3.13
    fully
    3.03
    fulness
    2.93
    full
    2.12
    less
    1.35
    iful
    1.33
    lessly
    1.31
    eful
    1.30
    LESS
    1.21
    Activations Density 0.015%

    No Known Activations