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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. 5239
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    INDEX
    Explanations

    phrases related to being a runner-up or finishing in second place

    oai_token-act-pair · gpt-3.5-turbo

    references to runners and their performances

    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
    rification
    -0.72
    arial
    -0.70
    illery
    -0.69
     holdings
    -0.66
    raits
    -0.66
    ury
    -0.66
     tremend
    -0.65
    acular
    -0.61
    isson
    -0.60
     Railway
    -0.60
    POSITIVE LOGITS
    pants
    0.85
    bum
    0.84
    gaard
    0.80
    swick
    0.79
    blem
    0.79
    ways
    0.76
    luster
    0.73
    jit
    0.73
    fast
    0.72
    ners
    0.70
    Activations Density 0.074%

    No Known Activations