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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. 7-RES-JB
    11. 19375
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Quadro
    -0.71
    soType
    -0.71
     Wim
    -0.66
     Lent
    -0.63
    erred
    -0.62
    idas
    -0.61
     Apply
    -0.60
    Chance
    -0.60
    Apply
    -0.60
     Streaming
    -0.59
    POSITIVE LOGITS
     disappeared
    0.83
     vanished
    0.76
    gate
    0.67
     harmed
    0.66
    rights
    0.65
     stole
    0.63
     vanish
    0.63
     morphed
    0.63
    iasis
    0.62
     victims
    0.61
    Activations Density 0.992%

    No Known Activations