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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. 4-RES-JB
    11. 20455
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    Explanations

    phrases indicating a large amount or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a significant quantity or degree of something

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

    No Comments

    Negative Logits
    sburgh
    -0.69
    adelphia
    -0.66
    rones
    -0.65
    antha
    -0.60
    Town
    -0.60
    origin
    -0.59
    prints
    -0.59
    furt
    -0.58
    gang
    -0.58
    laws
    -0.56
    POSITIVE LOGITS
     (~
    0.85
     (>
    0.81
     amount
    0.80
     amounts
    0.69
    ersion
    0.62
    ...]
    0.62
    =~
    0.61
    },"
    0.60
    ][/
    0.60
     of
    0.59
    Activations Density 0.059%

    No Known Activations