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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. 2761
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    INDEX
    Explanations

    patterns related to personal experiences and realizations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of realization and the emotional journey of self-discovery

    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
    Republic
    -0.74
     Representatives
    -0.73
     Confederation
    -0.70
    published
    -0.69
     Surveillance
    -0.69
     Luxem
    -0.69
     Sisters
    -0.68
     appell
    -0.68
     Cosponsors
    -0.67
    authors
    -0.67
    POSITIVE LOGITS
     adrenaline
    1.06
     subconscious
    1.05
     craving
    0.94
     overwhelm
    0.93
     unconsciously
    0.93
     boredom
    0.92
     feeling
    0.88
     exhaustion
    0.88
     crave
    0.88
     fatigue
    0.88
    Activations Density 0.805%

    No Known Activations