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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. 9960
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    Explanations

    the indefinite article "a."

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" in various contexts

    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
    tions
    -0.75
    Area
    -0.73
    Autom
    -0.68
    IAS
    -0.68
    Ü
    -0.67
    ells
    -0.67
    eller
    -0.65
    Alien
    -0.64
    tu
    -0.64
    Coll
    -0.64
    POSITIVE LOGITS
     lesson
    0.85
     stride
    0.85
     plunge
    0.84
     foothold
    0.84
     tumble
    0.84
     chunk
    0.83
     hint
    0.82
     proactive
    0.82
     lot
    0.81
     seriously
    0.81
    Activations Density 0.083%

    No Known Activations