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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. 7-RES-JB
    11. 223
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    INDEX
    Explanations

    phrases related to drilling or training activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "drill" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.79
     Leilan
    -0.75
    CHO
    -0.74
     Janeiro
    -0.71
     Reincarn
    -0.66
    nee
    -0.64
     Actress
    -0.64
    added
    -0.63
    é¾įå
    -0.62
     Krug
    -0.62
    POSITIVE LOGITS
     drilled
    1.21
     drill
    1.20
     drilling
    1.15
     drills
    1.02
     sergeant
    1.00
     rigs
    0.99
     Drill
    0.96
    itud
    0.94
     holes
    0.84
     wells
    0.83
    Activations Density 0.027%

    No Known Activations