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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. 20861
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    INDEX
    Explanations

    exclamatory phrases or interjections

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific symbols or characters, particularly the "âĢ" sequence

    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
    enegger
    -0.85
    ESSION
    -0.80
    ividual
    -0.72
     redist
    -0.72
     prevailing
    -0.68
     disparate
    -0.67
     confir
    -0.67
    mercial
    -0.66
     telecommunications
    -0.65
     Samoa
    -0.65
    POSITIVE LOGITS
    dro
    1.07
    âĢķ
    1.01
    ¹
    1.00
    £
    0.95
    º
    0.90
    Ń
    0.89
    ½
    0.87
    ¡
    0.86
    say
    0.85
    ª
    0.85
    Activations Density 0.352%

    No Known Activations