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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. 9481
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    Explanations

    phrases related to being in need of something

    oai_token-act-pair · gpt-3.5-turbo

    references to needs or requirements within a context

    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
    uthor
    -0.70
    nown
    -0.69
    azar
    -0.68
     Gleaming
    -0.62
    lamm
    -0.62
     warr
    -0.62
    aroo
    -0.62
    mire
    -0.62
     EntityItem
    -0.62
    abe
    -0.61
    POSITIVE LOGITS
     urgently
    0.90
     HELP
    0.81
     ASAP
    0.79
     patience
    0.77
     refres
    0.75
     manpower
    0.72
     brakes
    0.71
     help
    0.71
     assurances
    0.71
     reinforcement
    0.70
    Activations Density 0.185%

    No Known Activations