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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. 16111
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    Explanations

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    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
    warm
    -0.86
    forth
    -0.77
    MENTS
    -0.77
    wolves
    -0.72
    nuts
    -0.71
    rers
    -0.69
    LESS
    -0.68
    MENT
    -0.68
     lodge
    -0.67
     Warriors
    -0.67
    POSITIVE LOGITS
    iled
    1.15
    iles
    1.15
    iler
    1.14
    ilers
    1.07
    essor
    1.06
    aned
    1.05
    anity
    1.02
    iling
    0.98
    usion
    0.98
     prof
    0.93
    Activations Density 0.014%

    No Known Activations