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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. 7-RES-JB
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    Explanations

    adjectives describing various emotional or intense states

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that convey intensity or extremity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģ¾
    -0.77
    oration
    -0.70
    onto
    -0.68
    edin
    -0.66
    ribe
    -0.65
    ourke
    -0.64
    avis
    -0.63
    ajor
    -0.63
    adr
    -0.63
    olith
    -0.63
    POSITIVE LOGITS
    nesses
    0.99
    ly
    0.97
    ness
    0.93
     Enough
    0.87
     Solutions
    0.85
     Examples
    0.84
     Features
    0.83
     Ways
    0.83
     Measures
    0.83
     Thoughts
    0.80
    Activations Density 0.237%

    No Known Activations