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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. 8-RES-JB
    11. 8296
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    Explanations

    phrases related to feelings of confidence or satisfaction

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positive feelings or sentiments regarding a situation or outcome

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hesis
    -0.90
    hiba
    -0.85
    OGR
    -0.81
    aic
    -0.80
    seed
    -0.78
    ngth
    -0.78
    DragonMagazine
    -0.76
    icol
    -0.75
     teasp
    -0.74
    owitz
    -0.73
    POSITIVE LOGITS
     preserving
    0.93
     getting
    0.92
     achieving
    0.90
     donating
    0.88
     quitting
    0.87
     losing
    0.86
     marrying
    0.84
     reforming
    0.84
     saving
    0.84
     joining
    0.83
    Activations Density 0.113%

    No Known Activations