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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. 8520
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    Explanations

    proper nouns related to individuals, locations, and teams

    oai_token-act-pair · gpt-3.5-turbo

    names of places and people related to a specific context or narrative

    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
    efully
    -0.84
    erker
    -0.83
    boro
    -0.81
    omes
    -0.81
    istor
    -0.79
    onse
    -0.79
    amily
    -0.78
    isting
    -0.78
    uate
    -0.78
    agar
    -0.77
    POSITIVE LOGITS
     Jak
    0.91
    BuyableInstoreAndOnline
    0.78
     Archdemon
    0.74
     Kitt
    0.72
     Springs
    0.71
    OTA
    0.71
     Kafka
    0.69
     Slov
    0.68
     Marian
    0.67
     Avalanche
    0.67
    Activations Density 0.030%

    No Known Activations