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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 14011
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    Explanations

    verbs associated with actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ás
    -0.80
    asio
    -0.74
    vation
    -0.73
    uese
    -0.72
    uctions
    -0.72
    ixtape
    -0.71
    thood
    -0.71
    erno
    -0.68
    aido
    -0.68
    oulos
    -0.68
    POSITIVE LOGITS
     alike
    0.83
    )}
    0.79
     consequently
    0.78
     therefore
    0.74
     depend
    0.70
     accordingly
    0.69
     nowhere
    0.64
    ":"/
    0.63
     suited
    0.62
     reused
    0.62
    Activations Density 0.654%

    No Known Activations