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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. 12064
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    Explanations

    words related to excitement, attention, and anticipation

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "buzz" or excitement around a topic

    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
    ©¶æ
    -0.84
    tein
    -0.76
     tyrann
    -0.69
     confisc
    -0.68
     unjust
    -0.67
     restitution
    -0.67
     unfit
    -0.65
     unequal
    -0.64
     unfor
    -0.62
    beit
    -0.62
    POSITIVE LOGITS
     buzz
    1.14
    saw
    0.95
    ards
    0.95
    atform
    0.93
    arded
    0.91
    iest
    0.91
    feed
    0.86
    oola
    0.84
    vine
    0.84
    er
    0.83
    Activations Density 0.010%

    No Known Activations