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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. 9-RES-JB
    11. 16583
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    Explanations

    phrases related to events or actions performed by individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the definite article "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    entimes
    -0.72
    ictionary
    -0.69
    achus
    -0.68
    ÃĥÃĤ
    -0.66
    abel
    -0.64
    ledge
    -0.63
    ingly
    -0.62
    ternal
    -0.62
    razil
    -0.61
    perse
    -0.60
    POSITIVE LOGITS
     latter
    1.01
     remainder
    1.00
     ensuing
    0.86
     resultant
    0.85
     offending
    0.81
     organisation
    0.79
     entire
    0.78
     slightest
    0.76
     same
    0.74
    ses
    0.74
    Activations Density 0.876%

    No Known Activations