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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. 8-RES-JB
    11. 820
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    INDEX
    Explanations

    years or decades mentioned in the late portion

    oai_token-act-pair · gpt-3.5-turbo

    references to specific decades or time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venge
    -0.60
    aukee
    -0.60
    netflix
    -0.58
    EStreamFrame
    -0.58
     measuring
    -0.58
     verbally
    -0.57
     fing
    -0.55
     masc
    -0.55
    avorite
    -0.55
    semble
    -0.55
    POSITIVE LOGITS
    s
    1.24
    ixties
    0.97
    sie
    0.92
    ties
    0.92
    eties
    0.88
    -'
    0.87
    ies
    0.87
    enthal
    0.85
    sburg
    0.85
    eenth
    0.81
    Activations Density 0.043%

    No Known Activations