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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. 16603
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    Explanations

    phrases related to explanations or clarifications

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to clarification and provocation

    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
    EStream
    -0.72
    den
    -0.70
    reb
    -0.70
     largeDownload
    -0.69
    ħĭ
    -0.64
     Derby
    -0.62
    PER
    -0.61
    bre
    -0.60
    horn
    -0.59
     postage
    -0.59
    POSITIVE LOGITS
    uitous
    1.45
    itude
    1.45
    itudes
    1.42
    ities
    1.30
    ifications
    1.29
    ific
    1.27
    ifying
    1.25
    ifies
    1.21
    ified
    1.19
    ifiers
    1.17
    Activations Density 0.119%

    No Known Activations