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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. 11-RES-JB
    11. 16426
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    Explanations

    authors and contributors of reports or articles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of reports or articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ceilings
    -0.75
     demos
    -0.67
     halves
    -0.63
     chops
    -0.62
     sides
    -0.62
     ingred
    -0.61
     imag
    -0.61
     bowls
    -0.60
     drawings
    -0.60
     maid
    -0.59
    POSITIVE LOGITS
    ittee
    0.68
     Donation
    0.68
    atis
    0.68
     Attribution
    0.68
    ilial
    0.65
    uren
    0.65
    OSP
    0.65
    SHA
    0.63
     TRANS
    0.61
     GOODMAN
    0.61
    Activations Density 0.082%

    No Known Activations