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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. 4-RES-JB
    11. 14397
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    Explanations

    phrases indicating mixed opinions or thoughts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "some" and its variations in context

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

    No Comments

    Negative Logits
    nature
    -0.60
    raid
    -0.59
    ifice
    -0.58
    ht
    -0.57
    aring
    -0.57
    owner
    -0.56
    heter
    -0.56
    being
    -0.56
    ode
    -0.55
    everyone
    -0.55
    POSITIVE LOGITS
     additional
    0.81
     significant
    0.75
     notable
    0.72
     remarkable
    0.71
     incrim
    0.69
     valuable
    0.69
     noteworthy
    0.69
     credible
    0.68
     meaningful
    0.66
     promising
    0.66
    Activations Density 0.390%

    No Known Activations