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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. 6-RES-JB
    11. 11868
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    Explanations

    proper nouns or names of individuals that may be of importance or interest

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" in various contexts

    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
     Anything
    -0.73
     VIDEOS
    -0.69
     Anyway
    -0.66
    BACK
    -0.66
    ³³³³
    -0.65
     Bound
    -0.64
    ãĤª
    -0.64
     Beet
    -0.62
     Watching
    -0.61
     Federation
    -0.60
    POSITIVE LOGITS
     accompanies
    1.04
    oping
    1.02
     frequ
    1.01
    oped
    0.96
     resided
    0.95
     preceded
    0.94
     specializes
    0.93
    soever
    0.92
     attends
    0.90
     accompanied
    0.90
    Activations Density 0.152%

    No Known Activations