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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. 23172
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    Explanations

    personal pronouns followed by a verb indicating giving or providing

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and the impact of relationships

    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
    uting
    -0.75
    asha
    -0.74
    uffle
    -0.74
    velt
    -0.69
    ute
    -0.67
    rating
    -0.67
     Archdemon
    -0.65
    don
    -0.63
    NESS
    -0.63
    aters
    -0.62
    POSITIVE LOGITS
     access
    1.08
     pause
    1.03
     permission
    1.03
     ample
    1.03
     insight
    1.02
     nightmares
    0.94
     leverage
    0.92
     flashbacks
    0.90
     impetus
    0.90
     opportunity
    0.89
    Activations Density 0.099%

    No Known Activations