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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. 2-RES-JB
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    Explanations

    text related to handling and handlers, specifically focusing on handling animals or database connections

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of handlers, particularly in contexts involving management or care

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    egal
    -0.85
    Rated
    -0.80
    andals
    -0.75
     Barkley
    -0.70
    orough
    -0.68
    itals
    -0.67
    ition
    -0.67
    uni
    -0.65
    anking
    -0.65
    uli
    -0.64
    POSITIVE LOGITS
     handler
    1.27
     handlers
    1.12
    handler
    1.09
     Handler
    0.99
    eers
    0.86
    eer
    0.79
    eering
    0.77
    Registered
    0.76
    lers
    0.75
    TPPStreamerBot
    0.73
    Activations Density 0.011%

    No Known Activations