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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. 0-RES-JB
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    Explanations

    mention of educational institutions, specifically high schools

    oai_token-act-pair · gpt-3.5-turbo

    references to high schools

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ograph
    -0.72
    bsite
    -0.67
    clus
    -0.67
     fide
    -0.65
    lections
    -0.63
    igators
    -0.63
     buckle
    -0.63
    earance
    -0.62
    onies
    -0.62
    á½
    -0.62
    POSITIVE LOGITS
     High
    3.51
    High
    2.53
     HIGH
    2.27
    high
    2.08
     Low
    1.90
     high
    1.90
     Higher
    1.67
     Highest
    1.47
    Higher
    1.36
    Low
    1.36
    Activations Density 0.018%

    No Known Activations