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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. 1-RES-JB
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    INDEX
    Explanations

    mentions of jurors

    oai_token-act-pair · gpt-3.5-turbo

    references to juries and jury-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Squirrel
    -0.70
     Pixie
    -0.65
     Medium
    -0.61
     Dear
    -0.61
     Sheep
    -0.60
    WD
    -0.60
     Sadd
    -0.60
     Rail
    -0.60
     OMG
    -0.60
     Princess
    -0.59
    POSITIVE LOGITS
     jur
    1.39
     Jur
    1.16
    iscons
    1.10
    assic
    1.00
    izons
    0.97
     jurors
    0.96
    isd
    0.91
    istani
    0.87
    ieu
    0.76
    odox
    0.75
    Activations Density 0.011%

    No Known Activations