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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. 16580
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    INDEX
    Explanations

    words signaling the passage to a new idea or viewpoint

    oai_token-act-pair · gpt-3.5-turbo

    expressions of contradiction or contrast

    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
    1001
    -0.59
    JJ
    -0.58
    amental
    -0.56
    ornia
    -0.56
    Jar
    -0.56
     balcony
    -0.56
    qt
    -0.56
     throats
    -0.55
    Pont
    -0.55
    PRES
    -0.55
    POSITIVE LOGITS
     conclud
    0.78
    etheless
    0.73
     importantly
    0.67
     HHS
    0.66
     moreover
    0.64
    laus
    0.64
    ertodd
    0.64
     cru
    0.63
    hov
    0.61
     predictably
    0.61
    Activations Density 0.635%

    No Known Activations