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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. 16302
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    Explanations

    numbers or mathematical terms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "mag" and numerical references

    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
    ijk
    -0.71
    e
    -0.68
     conced
    -0.65
     Akin
    -0.63
     recall
    -0.62
     widow
    -0.61
    eed
    -0.60
    hips
    -0.59
    peak
    -0.58
     McKay
    -0.57
    POSITIVE LOGITS
    pty
    1.10
    igation
    1.00
    glers
    0.99
    ical
    0.99
    illary
    0.97
    rh
    0.93
    emonic
    0.93
    eral
    0.92
    urai
    0.90
    ittee
    0.88
    Activations Density 0.115%

    No Known Activations