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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. 4-RES-JB
    11. 6717
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    Explanations

    numerical descriptions related to weight

    oai_token-act-pair · gpt-3.5-turbo

    weight-related information

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

    No Comments

    Negative Logits
    eer
    -0.87
    istically
    -0.74
    vironment
    -0.73
    inel
    -0.72
    onyms
    -0.68
    onym
    -0.68
    opol
    -0.68
    gotten
    -0.67
    actionDate
    -0.66
     Emin
    -0.65
    POSITIVE LOGITS
     sterling
    1.13
     pounds
    1.00
     lbs
    0.93
    lbs
    0.91
    hops
    0.87
     heavier
    0.83
     apiece
    0.83
     weight
    0.81
     gorilla
    0.80
    cake
    0.80
    Activations Density 0.014%

    No Known Activations