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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. 6-RES-JB
    11. 15592
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    Explanations

    locations described in terms of distance and direction

    oai_token-act-pair · gpt-3.5-turbo

    distance and directional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.69
    adier
    -0.61
    aea
    -0.61
    ergy
    -0.60
    DL
    -0.59
    icity
    -0.59
    ahime
    -0.59
     Rates
    -0.58
    OY
    -0.57
     flakes
    -0.57
    POSITIVE LOGITS
     Esther
    0.69
     Lenin
    0.67
     Kath
    0.66
     closest
    0.64
    outheast
    0.64
     Spart
    0.64
     Louisville
    0.63
     southeast
    0.62
     southwest
    0.62
     mosqu
    0.62
    Activations Density 0.052%

    No Known Activations