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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. 1-RES-JB
    11. 1032
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    Explanations

    words related to physical or mental exhaustion

    oai_token-act-pair · gpt-3.5-turbo

    references to the state of being tired or worn out

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ker
    -0.76
    */(
    -0.75
    ood
    -0.72
    eller
    -0.67
    RD
    -0.65
    fab
    -0.65
    origin
    -0.65
    board
    -0.65
    UP
    -0.64
    ourke
    -0.64
    POSITIVE LOGITS
     exhausted
    1.11
     exhaustion
    1.00
     fatig
    0.88
    igue
    0.81
    lehem
    0.77
     Lauder
    0.71
     exhausting
    0.71
    uous
    0.70
    ptives
    0.70
     Relax
    0.69
    Activations Density 0.011%

    No Known Activations