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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. 3550
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    INDEX
    Explanations

    mentions of local residents or natives in a particular area

    oai_token-act-pair · gpt-3.5-turbo

    references to local residents and community members

    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
    thing
    -0.79
    jri
    -0.70
    catentry
    -0.69
    inventoryQuantity
    -0.68
     Parenthood
    -0.67
    Weapon
    -0.66
    uyomi
    -0.64
    leaf
    -0.63
    headed
    -0.63
    ificant
    -0.63
    POSITIVE LOGITS
    folk
    0.92
    ourcing
    0.74
     ejected
    0.71
    ites
    0.71
    paces
    0.69
    enos
    0.68
     amph
    0.68
     transpl
    0.67
     stationed
    0.67
     rave
    0.66
    Activations Density 0.016%

    No Known Activations