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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. 3718
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    Explanations

    Twitter links with high levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    the letter "t"

    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
    ĪĴ
    -0.78
     Profession
    -0.66
     Hitman
    -0.64
    ħĭ
    -0.64
     ancest
    -0.61
     ageing
    -0.61
     disparate
    -0.60
     visitation
    -0.60
     RAM
    -0.60
     exha
    -0.59
    POSITIVE LOGITS
    ournament
    1.02
    ribune
    1.01
    rell
    0.97
    ripp
    0.97
    unes
    0.96
    youtube
    0.96
    asks
    0.96
    ruly
    0.93
    reon
    0.93
    ricks
    0.91
    Activations Density 0.011%

    No Known Activations