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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. 17534
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    INDEX
    Explanations

    phrases related to necessary actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    sentence endings that suggest conclusions or finality

    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
    ozyg
    -0.84
    arers
    -0.79
     repe
    -0.72
     redeemed
    -0.69
    ported
    -0.69
    aunts
    -0.68
     delighted
    -0.68
    ittered
    -0.68
     cameo
    -0.68
     amused
    -0.67
    POSITIVE LOGITS
     Otherwise
    1.69
     Ideally
    1.44
     Luckily
    1.37
     Fortunately
    1.29
     Unfortunately
    1.23
    Otherwise
    1.21
     Thankfully
    1.19
     Doing
    1.11
     Obviously
    1.10
     Usually
    1.06
    Activations Density 0.521%

    No Known Activations