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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. 10-RES-JB
    11. 7080
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    INDEX
    Explanations

    adjectives and verbs related to physical movement and action

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to absence, obstacles, and significant challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ?".
    -0.65
     ______
    -0.64
     ))
    -0.62
    "))
    -0.61
     ARE
    -0.61
    )))
    -0.60
    /)
    -0.60
    youtu
    -0.60
    /
    -0.60
    `.
    -0.59
    POSITIVE LOGITS
     amid
    0.78
     because
    0.75
     amidst
    0.75
     owing
    0.75
     though
    0.71
     lest
    0.70
     insofar
    0.70
     aboard
    0.68
     baffled
    0.67
    ousy
    0.67
    Activations Density 0.762%

    No Known Activations