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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. 9-RES-JB
    11. 2269
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    INDEX
    Explanations

    mentions of achievements and records being set

    oai_token-act-pair · gpt-3.5-turbo

    references to notable achievements and recognitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eret
    -0.65
    vale
    -0.63
    eral
    -0.62
    imilation
    -0.62
    iso
    -0.61
    istence
    -0.60
    armac
    -0.60
    akov
    -0.59
    cgi
    -0.59
    arial
    -0.58
    POSITIVE LOGITS
    ottest
    1.32
     Favorite
    1.31
     coolest
    1.25
     highest
    1.24
     hottest
    1.20
     Worst
    1.20
    Best
    1.19
     fastest
    1.18
     longest
    1.16
     Highest
    1.15
    Activations Density 1.131%

    No Known Activations