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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. 1-RES-JB
    11. 8842
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    INDEX
    Explanations

    references to specific names, including locations and people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals and significant historical events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dex
    -0.78
    rim
    -0.67
    rio
    -0.65
    ry
    -0.64
    ror
    -0.64
     Flo
    -0.63
     Aur
    -0.63
    rer
    -0.62
    âĨij
    -0.62
    most
    -0.62
    POSITIVE LOGITS
    otions
    0.85
    enko
    0.82
    wered
    0.81
    aimon
    0.81
    jab
    0.80
    emouth
    0.80
    ibaba
    0.77
    ivered
    0.77
     mosqu
    0.76
    ruciating
    0.76
    Activations Density 0.032%

    No Known Activations