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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. 2681
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ãĥ£
    -0.75
     bast
    -0.74
     Clarks
    -0.73
     Duff
    -0.73
     Squirrel
    -0.73
     Greens
    -0.69
     thunder
    -0.69
     GREEN
    -0.66
     lounge
    -0.66
     yellow
    -0.65
    POSITIVE LOGITS
    i
    1.28
    ih
    1.16
    iom
    1.16
    iot
    1.11
    iov
    1.11
    ii
    1.08
    Ä«
    1.07
    ÃŃ
    1.07
    iev
    1.06
    iak
    1.05
    Activations Density 0.235%

    No Known Activations