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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. 8-RES-JB
    11. 2025
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    phrases related to creative work or processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to companionship and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     collector
    -0.51
     friend
    -0.50
    REDACTED
    -0.50
     Graves
    -0.48
     MUCH
    -0.46
     trivial
    -0.45
     friends
    -0.45
    Mah
    -0.44
     collectors
    -0.44
     dear
    -0.44
    POSITIVE LOGITS
    StreamerBot
    0.64
    ġ
    0.63
    ě
    0.62
    À
    0.62
    č
    0.62
    Ĕ
    0.62
    Ď
    0.62
     RandomRedditor
    0.62
    ÷
    0.62
    Ĝ
    0.62
    Activations Density 0.615%

    No Known Activations