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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. 0-RES-JB
    11. 11706
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    Explanations

    words related to something being impressive

    oai_token-act-pair · gpt-3.5-turbo

    words related to impressiveness or admiration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anger
    -0.67
     Subst
    -0.65
    ache
    -0.65
    &
    -0.64
     Conflict
    -0.63
    annel
    -0.62
    lords
    -0.62
    enter
    -0.61
     Prevention
    -0.61
    lic
    -0.61
    POSITIVE LOGITS
     impressive
    3.13
     astounding
    1.86
     admirable
    1.85
     remarkable
    1.76
     astonishing
    1.72
     incredible
    1.68
     amazing
    1.68
     impress
    1.65
     formidable
    1.52
     magnificent
    1.52
    Activations Density 0.012%

    No Known Activations