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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. 9440
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    Explanations

    technical information such as dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data or identifiers

    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
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    No Comments

    Negative Logits
     Spectre
    -0.81
    lyak
    -0.71
     Versus
    -0.68
     Hog
    -0.67
     THR
    -0.67
    hower
    -0.67
    swer
    -0.66
    krit
    -0.66
     Shooter
    -0.65
     AH
    -0.65
    POSITIVE LOGITS
    Topics
    1.01
    isms
    0.84
    Runtime
    0.84
    isine
    0.80
    abulary
    0.80
    English
    0.78
    Tags
    0.78
    Subject
    0.76
    Attach
    0.74
    à¦
    0.73
    Activations Density 0.071%

    No Known Activations