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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. 0-RES-JB
    11. 23206
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    Explanations

    references to a specific chain of stores or restaurants

    oai_token-act-pair · gpt-3.5-turbo

    references to specific toy and pizza brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     sshd
    -0.74
    db
    -0.71
    anchester
    -0.66
    ssh
    -0.66
     chemistry
    -0.66
     bash
    -0.66
     TN
    -0.64
    anova
    -0.63
     ledger
    -0.62
    odox
    -0.61
    POSITIVE LOGITS
     Toys
    2.28
    isy
    1.57
     Pizza
    1.23
    imeo
    1.22
     Ways
    1.18
    Pie
    1.16
     Eid
    1.11
    jas
    1.10
     Pie
    1.08
     DRM
    1.03
    Activations Density 0.082%

    No Known Activations