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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. 9-RES-JB
    11. 18302
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    Explanations

    names of individuals from various contexts or articles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nian
    -0.63
    jriwal
    -0.60
     amateur
    -0.56
     Reincarn
    -0.55
     honesty
    -0.55
    sed
    -0.55
     adoptive
    -0.55
     legislatures
    -0.54
     emergencies
    -0.54
     "#
    -0.54
    POSITIVE LOGITS
    ñ
    1.36
    uthor
    1.27
    eus
    1.20
    issance
    1.17
    ño
    1.17
    ña
    1.17
    ï
    1.12
    fter
    1.10
    ver
    1.10
    vel
    1.07
    Activations Density 0.176%

    No Known Activations