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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. 7-RES-JB
    11. 13502
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    Explanations

    phrases related to multiple contributing elements or factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce lists or multiple items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orem
    -0.73
    atorium
    -0.72
    lord
    -0.66
    amus
    -0.65
    cast
    -0.64
    vered
    -0.63
    ulus
    -0.62
    scription
    -0.62
    ppo
    -0.62
    psc
    -0.62
    POSITIVE LOGITS
     including
    1.64
     namely
    1.48
     includ
    1.28
    including
    1.27
     ranging
    1.23
     Including
    1.20
     notably
    1.17
     albeit
    1.16
     depending
    1.14
     viz
    1.06
    Activations Density 0.419%

    No Known Activations