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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. 8-RES-JB
    11. 7253
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    INDEX
    Explanations

    phrases prompting action or response

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating inquiry or confirmation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gamma
    -0.73
     footh
    -0.62
    ologne
    -0.60
     dele
    -0.59
     nightly
    -0.58
    spir
    -0.56
    £ı
    -0.56
     diffusion
    -0.56
    Notable
    -0.55
    icz
    -0.55
    POSITIVE LOGITS
    Answer
    1.40
     Answer
    1.10
     Nope
    1.06
     answered
    0.92
    swers
    0.92
     answer
    0.90
    answer
    0.86
    ?????-?????-
    0.84
    .?
    0.83
     answers
    0.79
    Activations Density 0.222%

    No Known Activations