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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. 0-RES-JB
    11. 5128
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    Explanations

    phrases related to drilling activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "drilling" and its variants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resents
    -0.71
    iety
    -0.70
    hered
    -0.70
     Favor
    -0.69
    undle
    -0.68
    âĿ
    -0.68
    dy
    -0.67
    friend
    -0.66
    é»Ĵ
    -0.65
    âĨĴ
    -0.64
    POSITIVE LOGITS
     drilling
    3.70
     drill
    2.25
     drilled
    2.13
     fracking
    2.06
     Drill
    1.76
     drills
    1.65
     shale
    1.56
     fracturing
    1.47
     hydraulic
    1.44
     mining
    1.32
    Activations Density 0.021%

    No Known Activations