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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. 7-RES-JB
    11. 11514
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    INDEX
    Explanations

    people's names and their titles or roles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.70
    Load
    -0.66
     deadliest
    -0.64
    raq
    -0.62
    icable
    -0.60
     reductions
    -0.60
    orically
    -0.60
    notation
    -0.59
    broad
    -0.58
    bound
    -0.57
    POSITIVE LOGITS
     Jr
    1.26
     Sr
    1.24
     III
    0.93
     attends
    0.86
     aka
    0.82
     greets
    0.81
     Presents
    0.78
     Productions
    0.77
    Jr
    0.76
     IMAGES
    0.76
    Activations Density 0.140%

    No Known Activations