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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. 6-RES-JB
    11. 15265
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    INDEX
    Explanations

    numbers mentioned in numerical order, particularly with punctuation surrounding them

    oai_token-act-pair · gpt-3.5-turbo

    numerical or ordinal terms related to sequences or rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mercial
    -0.74
    bugs
    -0.68
    RPG
    -0.63
    kinson
    -0.60
    bats
    -0.59
    xiety
    -0.59
     sqor
    -0.57
    nit
    -0.57
    League
    -0.57
    NBA
    -0.57
    POSITIVE LOGITS
     perpend
    0.63
     shortest
    0.62
     tert
    0.62
    aft
    0.61
    akra
    0.60
    rontal
    0.60
    ked
    0.59
     vowel
    0.57
    ipop
    0.57
    ighty
    0.56
    Activations Density 1.232%

    No Known Activations