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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. 4-RES-JB
    11. 15787
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    Explanations

    phrases related to feelings of exhaustion or frustration

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing fatigue or weariness

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

    No Comments

    Negative Logits
    heses
    -0.80
    hesis
    -0.75
    aughters
    -0.67
    eele
    -0.67
    forward
    -0.67
    ESA
    -0.64
     accelerator
    -0.64
    UA
    -0.64
    MIT
    -0.63
     istg
    -0.63
    POSITIVE LOGITS
     sorts
    0.87
     seeing
    0.83
     crank
    0.74
     boredom
    0.72
     hearing
    0.68
     witnessing
    0.68
    76561
    0.67
    awed
    0.66
     practicing
    0.65
     course
    0.65
    Activations Density 0.080%

    No Known Activations