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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. 11-RES-JB
    11. 13851
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    Explanations

    phrases related to quantity or numerical information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a" and phrases that describe rates or measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lies
    -0.75
    things
    -0.68
    boats
    -0.65
    eyes
    -0.62
    axe
    -0.62
    rower
    -0.61
    Edit
    -0.61
    AIDS
    -0.61
    artifacts
    -0.60
    Reloaded
    -0.60
    POSITIVE LOGITS
     whopping
    1.30
     mere
    1.04
     meager
    1.03
     staggering
    0.98
     meas
    0.95
     hefty
    0.89
     dismal
    0.88
     respectable
    0.88
     median
    0.84
     cumulative
    0.82
    Activations Density 0.156%

    No Known Activations