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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. 5781
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    Explanations

    sentences about the actions and interactions between characters in a narrative

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "The" in various contexts

    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
    thood
    -0.83
    ãĥķãĤ¡
    -0.79
    âĦ¢:
    -0.78
     âĢº
    -0.78
    urable
    -0.77
    Allows
    -0.76
    ="#
    -0.70
     ç¥ŀ
    -0.69
    Brexit
    -0.69
     Includes
    -0.68
    POSITIVE LOGITS
     ensuing
    1.20
     result
    1.06
    resa
    1.00
     resulting
    0.98
     resultant
    0.96
     caller
    0.96
     waiter
    0.95
     implication
    0.94
    oret
    0.94
     guy
    0.93
    Activations Density 0.424%

    No Known Activations