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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. 8927
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    Explanations

    words related to specific themed concepts or events

    oai_token-act-pair · gpt-3.5-turbo

    references to thematic elements in various contexts

    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
    IVER
    -0.79
    eded
    -0.67
     ILCS
    -0.64
    aders
    -0.62
    upon
    -0.62
    aucus
    -0.62
    oner
    -0.61
    FIN
    -0.59
    士
    -0.59
    hood
    -0.59
    POSITIVE LOGITS
     themed
    1.09
    nesday
    0.92
    ragon
    0.85
    ulously
    0.83
    theme
    0.82
    themed
    0.81
    iterranean
    0.78
     enthus
    0.75
    dayName
    0.72
     festivities
    0.70
    Activations Density 0.014%

    No Known Activations