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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. 1-RES-JB
    11. 6855
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    Explanations

    superlatives or items described as exceptional or of high quality

    oai_token-act-pair · gpt-3.5-turbo

    the term "super" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.77
     Seym
    -0.74
     Frie
    -0.72
    aughs
    -0.72
     Laugh
    -0.71
     Granger
    -0.68
     Nicholson
    -0.67
     Landing
    -0.66
     ........
    -0.66
     Bened
    -0.66
    POSITIVE LOGITS
    visor
    1.17
    imposed
    1.09
    nova
    1.05
    powers
    1.01
    visory
    0.93
    ordinate
    0.91
    cedes
    0.91
    iour
    0.91
    computer
    0.89
    IOR
    0.85
    Activations Density 0.010%

    No Known Activations