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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. 0-RES-JB
    11. 8140
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    INDEX
    Explanations

    contractions with the negative form of 'to be'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wasn't"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icial
    -0.58
     resort
    -0.50
     such
    -0.49
     2018
    -0.49
    cot
    -0.49
     respective
    -0.49
     Submit
    -0.49
     transact
    -0.48
     recent
    -0.48
     each
    -0.48
    POSITIVE LOGITS
     wasn
    2.94
     hadn
    2.29
     didn
    2.16
     weren
    2.16
     isn
    2.13
     hasn
    1.97
     wouldn
    1.96
     couldn
    1.91
    didn
    1.89
     doesn
    1.75
    Activations Density 0.020%

    No Known Activations