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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. 10-RES-JB
    11. 6454
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    Explanations

    references to individuals with the titled prefix "Mr." and their full name

    oai_token-act-pair · gpt-3.5-turbo

    mentions of male characters or persons addressed as "Mr." in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aides
    -0.71
     blister
    -0.70
     payoff
    -0.70
     overshadow
    -0.68
     densely
    -0.66
     isolate
    -0.66
     predominantly
    -0.65
     routed
    -0.65
     fallout
    -0.65
     muted
    -0.64
    POSITIVE LOGITS
    .,
    0.95
     Robot
    0.89
     Chips
    0.87
    .,"
    0.82
     Spock
    0.80
     Claus
    0.80
    seless
    0.78
    ./
    0.77
     Hyde
    0.77
    orporated
    0.76
    Activations Density 0.045%

    No Known Activations