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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. 11-RES-JB
    11. 6300
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    INDEX
    Explanations

    phrases describing the act of causing significant changes or effects

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "bring" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ede
    -0.69
    uary
    -0.66
    livious
    -0.65
    itect
    -0.64
    iffe
    -0.64
    raid
    -0.63
    1001
    -0.63
    beh
    -0.62
    animous
    -0.62
    chool
    -0.61
    POSITIVE LOGITS
     forth
    1.35
     together
    1.22
     back
    0.95
     smiles
    0.91
     down
    0.90
     discredit
    0.89
     attention
    0.89
     about
    0.87
     clarity
    0.87
    together
    0.85
    Activations Density 0.055%

    No Known Activations