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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. 6107
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    Explanations

    references to burial practices or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to burial practices and related agricultural activities

    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
    ened
    -0.89
    ie
    -0.80
    ym
    -0.73
    reme
    -0.73
    isy
    -0.73
    inx
    -0.72
    xxxxxxxx
    -0.72
    edy
    -0.72
    peak
    -0.71
    ending
    -0.71
    POSITIVE LOGITS
     rites
    0.91
    ptions
    0.90
     rituals
    0.89
     fees
    0.88
     Grounds
    0.88
    atorium
    0.84
    atories
    0.80
     commissions
    0.79
     fee
    0.78
     ponds
    0.76
    Activations Density 0.037%

    No Known Activations