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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. 3-RES-JB
    11. 3751
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    Explanations

    references to episodes or specific named entities

    oai_token-act-pair · gpt-3.5-turbo

    references to episodes in a series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -0.96
    ÙIJ
    -0.80
    hari
    -0.73
    hips
    -0.73
    âĺĨ
    -0.72
    cius
    -0.70
    WAYS
    -0.69
    folk
    -0.67
    berman
    -0.66
    GoldMagikarp
    -0.65
    POSITIVE LOGITS
    iscopal
    1.13
    iphany
    1.10
    onymous
    1.07
    hemer
    1.00
    istle
    0.91
    igraph
    0.86
    olit
    0.84
    onym
    0.84
     ep
    0.83
    otrop
    0.82
    Activations Density 0.008%

    No Known Activations