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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. 6-RES-JB
    11. 9761
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    INDEX
    Explanations

    words related to actions of spoiling or being spoiled

    oai_token-act-pair · gpt-3.5-turbo

    terms related to indulgence or excessive pampering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jriwal
    -0.90
    ajo
    -0.79
    ysis
    -0.74
    aida
    -0.73
    oples
    -0.73
    reb
    -0.73
    arettes
    -0.72
    urg
    -0.71
    ilitating
    -0.71
    reed
    -0.71
    POSITIVE LOGITS
     spo
    1.24
     spoil
    1.11
     spoiled
    0.99
     rotten
    0.98
     appet
    0.92
     Crate
    0.86
     Surprise
    0.82
    icer
    0.78
     adolesc
    0.74
     Clancy
    0.73
    Activations Density 0.036%

    No Known Activations