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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. 17767
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    Explanations

    phrases related to causes and effects

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to consequences and denouncement of actions

    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
    ighting
    -0.61
     hoping
    -0.61
     afterward
    -0.59
     assures
    -0.57
     hopes
    -0.54
     reportedly
    -0.53
     hope
    -0.53
    igers
    -0.51
     ensures
    -0.51
     surely
    -0.50
    POSITIVE LOGITS
    ificantly
    0.62
    omething
    0.62
    ificant
    0.60
     these
    0.59
     CoC
    0.57
    anchester
    0.57
    omorphic
    0.55
    ensional
    0.54
     ANY
    0.54
     constructive
    0.54
    Activations Density 1.396%

    No Known Activations