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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. 10-RES-JB
    11. 6311
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    Explanations

    references to violent or criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paces
    -0.77
    hips
    -0.74
    otrop
    -0.69
     Unloaded
    -0.69
    ISTORY
    -0.68
    amia
    -0.66
    angular
    -0.66
    irement
    -0.66
    iphate
    -0.66
    NetMessage
    -0.65
    POSITIVE LOGITS
     staffer
    1.36
     colleague
    1.24
     clerk
    1.23
     waitress
    1.23
     sergeant
    1.20
     crew
    1.18
     bartender
    1.17
     photographer
    1.16
     reporter
    1.15
     staff
    1.14
    Activations Density 0.486%

    No Known Activations