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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. 6-RES-JB
    11. 895
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    Explanations

    information related to news reports or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to reports and claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issues
    -0.74
    idelines
    -0.71
    err
    -0.68
    cart
    -0.68
    Bound
    -0.68
    enegger
    -0.66
    gaard
    -0.66
    oppable
    -0.66
    urtle
    -0.66
    izons
    -0.66
    POSITIVE LOGITS
     corrobor
    0.85
     eyewitness
    0.84
     sightings
    0.82
     gunshots
    0.78
     sighting
    0.76
     Rum
    0.75
     sources
    0.74
     narration
    0.72
     assailants
    0.71
     fabrication
    0.70
    Activations Density 0.667%

    No Known Activations