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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. 16287
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    INDEX
    Explanations

    details related to seating arrangements or options within various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to seating arrangements and capacity

    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
    essions
    -0.71
    erenn
    -0.70
    eks
    -0.69
    sson
    -0.66
     Codec
    -0.65
    oli
    -0.65
    ainer
    -0.64
    lez
    -0.63
    uda
    -0.63
    essor
    -0.63
    POSITIVE LOGITS
    velt
    0.75
    ¾
    0.71
    stable
    0.70
     Weasley
    0.67
    inness
    0.67
    ç·
    0.66
    äºĶ
    0.65
    anus
    0.65
    tons
    0.64
     Plaza
    0.64
    Activations Density 0.019%

    No Known Activations