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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. 3-RES-JB
    11. 7027
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    Explanations

    mentions of a specific city named "Mari" and a sports team named "Titans"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or entities associated with conflict or sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rence
    -0.91
     Meier
    -0.76
    erate
    -0.75
    ophob
    -0.74
    licks
    -0.71
    rences
    -0.71
    ring
    -0.71
    icides
    -0.70
    pair
    -0.70
    rition
    -0.70
    POSITIVE LOGITS
     Mari
    0.91
     Titans
    0.81
     Sturgeon
    0.70
    externalActionCode
    0.69
    ksh
    0.69
     Trooper
    0.66
     torch
    0.64
    umbling
    0.63
    angelo
    0.62
    annis
    0.61
    Activations Density 0.026%

    No Known Activations