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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. 6455
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    Explanations

    verbs related to motion and progression

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "run" and its variations

    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
    alam
    -0.69
    umatic
    -0.64
     )]
    -0.63
    ortment
    -0.59
     Slug
    -0.58
     Lauder
    -0.58
     Preferred
    -0.58
    repre
    -0.57
    isson
    -0.57
     Colomb
    -0.55
    POSITIVE LOGITS
     af
    0.99
     concurrently
    0.96
     rampant
    0.94
    gs
    0.84
    ny
    0.84
     smoothly
    0.84
     counter
    0.84
     parallel
    0.83
    aways
    0.83
     contrary
    0.79
    Activations Density 0.037%

    No Known Activations