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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. 3-RES-JB
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    Explanations

    mentions of power generation capacity in gigawatts

    oai_token-act-pair · gpt-3.5-turbo

    references to energy measurements, particularly gigawatts and their associated context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    phrine
    -0.81
    iasis
    -0.74
    netflix
    -0.70
    cision
    -0.70
    afort
    -0.67
    cook
    -0.67
    âķIJâķIJ
    -0.66
     cort
    -0.65
    case
    -0.64
    cember
    -0.63
    POSITIVE LOGITS
    TW
    1.08
    ILD
    1.00
    GW
    0.97
    SW
    0.97
    uild
    0.92
    atcher
    0.92
    Ts
    0.89
    DW
    0.88
    enary
    0.85
    reath
    0.85
    Activations Density 0.008%

    No Known Activations