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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. 9-RES-JB
    11. 6025
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    Explanations

    phrases related to post-election events or periods

    oai_token-act-pair · gpt-3.5-turbo

    references to post-election events and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wright
    -0.76
    Course
    -0.74
    arius
    -0.68
    erd
    -0.67
    sen
    -0.67
    pins
    -0.67
    posted
    -0.67
    urat
    -0.67
    die
    -0.67
    vs
    -0.67
    POSITIVE LOGITS
     checklist
    0.88
     festivities
    0.80
     stabilization
    0.78
     examinations
    0.78
     period
    0.77
     evaluation
    0.77
     adjustments
    0.76
     examination
    0.75
     Stress
    0.75
     stress
    0.71
    Activations Density 0.099%

    No Known Activations