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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. 7488
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    Explanations

    phrases related to experiences or actions that have occurred

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "had" 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
    âĺħ
    -0.65
     vacc
    -0.63
    ilings
    -0.63
    mson
    -0.62
    arning
    -0.61
     currently
    -0.60
    Soc
    -0.60
    heter
    -0.59
     Currently
    -0.57
    ethy
    -0.57
    POSITIVE LOGITS
     dealings
    1.01
     trouble
    0.97
     difficulty
    0.96
     enough
    0.85
     difficulties
    0.83
     recourse
    0.82
     success
    0.81
     intercourse
    0.80
    iths
    0.80
     setbacks
    0.79
    Activations Density 0.086%

    No Known Activations