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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. 14251
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    INDEX
    Explanations

    fractions or proportions related to quantities or demographics

    oai_token-act-pair · gpt-3.5-turbo

    references to small proportions or fractions of larger quantities

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    sym
    -0.59
     refreshed
    -0.58
     pillars
    -0.58
     DRAG
    -0.57
     sqor
    -0.57
     pillar
    -0.57
     embr
    -0.56
    alin
    -0.56
    nee
    -0.55
    ded
    -0.55
    POSITIVE LOGITS
     anymore
    1.01
    ever
    0.79
     nor
    0.71
    ucket
    0.71
    OTAL
    0.69
    ucl
    0.65
     dime
    0.64
    erest
    0.64
     (<
    0.62
    osal
    0.62
    Activations Density 0.237%

    No Known Activations