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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. 3-RES-JB
    11. 11281
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    Explanations

    references to the abbreviation "CA" followed by a numerical value, potentially related to specific events or data points

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the acronym "CA" and its associations with various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lio
    -0.74
    flows
    -0.71
    onen
    -0.70
    storms
    -0.70
    minded
    -0.69
    mode
    -0.68
    ensibly
    -0.68
    lings
    -0.68
    schild
    -0.68
    framework
    -0.67
    POSITIVE LOGITS
    xon
    1.13
    UTION
    1.07
    CA
    1.04
    VE
    1.01
    FF
    0.99
    qua
    0.94
    IRO
    0.93
    ULT
    0.93
    FE
    0.92
    VA
    0.89
    Activations Density 0.003%

    No Known Activations