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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
    11. 5890
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    INDEX
    Explanations

    phrases related to a specific location or event, specifically "Sandy Hook"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Sandy Hook and related events or references

    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
    Not in Any Lists

    No Comments

    Negative Logits
    orescent
    -0.98
    ioch
    -0.96
    olulu
    -0.88
    unct
    -0.88
    uador
    -0.87
    hovah
    -0.83
    orney
    -0.82
    aird
    -0.80
    anooga
    -0.79
    orne
    -0.77
    POSITIVE LOGITS
     Hook
    1.15
     Sandy
    1.12
     Kou
    0.90
     Island
    0.85
     Creek
    0.84
     Claus
    0.82
     Harbour
    0.82
     Bonds
    0.81
     Beach
    0.81
     Springs
    0.76
    Activations Density 0.004%

    No Known Activations