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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. 4-RES-JB
    11. 4103
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    Explanations

    words related to shale and limestone

    oai_token-act-pair · gpt-3.5-turbo

    references to shale gas

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

    No Comments

    Negative Logits
    SHIP
    -0.85
    enance
    -0.84
    iences
    -0.79
    VERTISEMENT
    -0.75
    recomm
    -0.74
    ittal
    -0.74
    govtrack
    -0.74
    VERTIS
    -0.74
    ãĤ±
    -0.74
    enhagen
    -0.73
    POSITIVE LOGITS
     drilling
    1.01
     oil
    0.92
     shale
    0.87
     wells
    0.80
     gas
    0.80
     formations
    0.79
     fracking
    0.77
    mining
    0.76
     methane
    0.72
     liquids
    0.72
    Activations Density 0.009%

    No Known Activations