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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. 4-RES-JB
    11. 19777
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    Explanations

    terms associated with excitement or attention

    oai_token-act-pair · gpt-3.5-turbo

    terms related to buzz and popular excitement surrounding events or topics

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

    No Comments

    Negative Logits
    ©¶æ
    -0.76
     restitution
    -0.68
    tein
    -0.67
     confisc
    -0.67
     antit
    -0.66
    gur
    -0.64
     unjust
    -0.63
     unfit
    -0.63
     Barbar
    -0.62
     tyrann
    -0.61
    POSITIVE LOGITS
    saw
    1.04
     buzz
    1.03
    atform
    0.94
    arded
    0.86
    iest
    0.85
    ards
    0.85
    waves
    0.84
    feed
    0.84
    leans
    0.83
    word
    0.82
    Activations Density 0.010%

    No Known Activations