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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. 23284
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    Explanations

    strong emotional or descriptive words like 'fervently' or 'decadent'

    oai_token-act-pair · gpt-3.5-turbo

    words related to intensity and emotional expression

    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
    word
    -0.73
    RFC
    -0.69
     oath
    -0.62
     betray
    -0.61
     Ones
    -0.61
     reckoning
    -0.58
     Chosen
    -0.58
     distort
    -0.58
     redacted
    -0.58
     stripping
    -0.57
    POSITIVE LOGITS
    ently
    2.41
    ency
    2.23
    encies
    2.14
    ential
    2.12
    ents
    2.10
    ence
    2.01
    ent
    2.01
    ences
    1.98
    entially
    1.95
    entials
    1.77
    Activations Density 0.107%

    No Known Activations