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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. 11436
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    INDEX
    Explanations

    specific word pairs

    oai_token-act-pair · gpt-3.5-turbo

    references to groups, teams, or comparisons involving multiple entities

    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
    uggest
    -0.67
     therap
    -0.62
     explan
    -0.62
    conserv
    -0.61
    ogle
    -0.59
     assum
    -0.59
    informed
    -0.59
     destro
    -0.58
    isphere
    -0.56
    opian
    -0.56
    POSITIVE LOGITS
     Yon
    0.72
     Balt
    0.70
     Les
    0.68
     Lie
    0.68
    BuyableInstoreAndOnline
    0.67
     Yorkshire
    0.67
     Leeds
    0.66
     Lv
    0.66
     Burk
    0.65
     USS
    0.64
    Activations Density 0.452%

    No Known Activations