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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. 9-RES-JB
    11. 23650
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    Explanations

    Words related to writing activities, such as typing and scribbling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to writing and typing activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Kin
    -0.87
    EStreamFrame
    -0.81
    ¥µ
    -0.77
     Rivals
    -0.74
    bringing
    -0.74
    âķIJ
    -0.72
    Reviewer
    -0.72
    Boost
    -0.70
    alsh
    -0.70
    etheus
    -0.69
    POSITIVE LOGITS
     initials
    1.16
     aloud
    1.16
     handwriting
    1.14
     alphabet
    1.11
     letters
    1.11
     words
    1.02
     markings
    1.01
     passwords
    0.99
     scrib
    0.99
     inscription
    0.98
    Activations Density 0.228%

    No Known Activations