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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. 12-RES-JB
    11. 4146
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    Explanations

    references to significant events or situations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    entities related to social issues and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seiz
    -0.76
    emale
    -0.71
     ende
    -0.69
    iage
    -0.63
     trave
    -0.61
     awa
    -0.61
    ©¶æ
    -0.60
     contrace
    -0.59
     FANT
    -0.58
    eatures
    -0.57
    POSITIVE LOGITS
     that
    1.15
    that
    1.08
     THAT
    0.90
    That
    0.88
     That
    0.88
     thats
    0.74
     who
    0.54
    who
    0.52
    036
    0.51
    ut
    0.50
    Activations Density 0.017%

    No Known Activations