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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. 0-RES-JB
    11. 7583
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    INDEX
    Explanations

    names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    locations and geographical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Booker
    -0.67
    wig
    -0.66
     tapping
    -0.64
    rait
    -0.64
     workflow
    -0.64
    cia
    -0.61
     Karma
    -0.60
     robber
    -0.60
     Gmail
    -0.59
    nob
    -0.58
    POSITIVE LOGITS
    atan
    4.82
    inian
    1.22
    atz
    1.14
    asin
    1.12
    iannopoulos
    1.07
    atos
    1.03
    ás
    1.00
    hap
    0.98
    tan
    0.95
     Hanson
    0.91
    Activations Density 0.038%

    No Known Activations