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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. 14059
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    Explanations

    highway identifiers and locations

    oai_token-act-pair · gpt-3.5-turbo

    negative numerical values associated with locations or events

    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
     disruptive
    -0.68
     accuracy
    -0.65
     dece
    -0.64
     reliability
    -0.64
     revealing
    -0.63
     heels
    -0.62
     Dickinson
    -0.62
     Ridley
    -0.62
     fingerprint
    -0.62
     Rivals
    -0.61
    POSITIVE LOGITS
    know
    0.83
    tra
    0.80
    san
    0.79
    shaped
    0.78
    adic
    0.77
    inspired
    0.77
    Am
    0.75
    IV
    0.74
    talk
    0.74
    branded
    0.73
    Activations Density 0.069%

    No Known Activations