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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. 7-RES-JB
    11. 20850
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    Explanations

    information related to educating for success and emotional wellbeing, possibly within textual arguments

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to important information or concepts that require awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atel
    -0.70
     <[
    -0.66
    viation
    -0.65
     <@
    -0.65
    owment
    -0.62
    enf
    -0.62
     registrations
    -0.62
    psc
    -0.61
    ogl
    -0.61
    gery
    -0.60
    POSITIVE LOGITS
     pitfalls
    0.82
     listener
    0.82
     secrets
    0.80
     Lessons
    0.80
     reflections
    0.79
     Highlights
    0.79
     discusses
    0.78
     insights
    0.78
     Revis
    0.78
     implications
    0.78
    Activations Density 1.178%

    No Known Activations