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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. 7-RES-JB
    11. 19035
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    Explanations

    phrases related to time and action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of urgency or a call for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Âł
    -0.68
     Âł
    -0.64
    bryce
    -0.63
    ³³
    -0.62
     ³³
    -0.58
    ↵Âł
    -0.53
    ³³³
    -0.49
    zona
    -0.49
    éĥ
    -0.46
     Âł Âł
    -0.46
    POSITIVE LOGITS
     Gamble
    0.52
     depends
    0.52
    xit
    0.49
    peat
    0.48
    NESS
    0.45
    pee
    0.45
     glim
    0.45
    ymm
    0.44
    renheit
    0.44
    Story
    0.43
    Activations Density 2.738%

    No Known Activations