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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. 4-RES-JB
    11. 15547
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    Explanations

    references to different types of residences or housing locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of residential settings

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

    No Comments

    Negative Logits
    romeda
    -0.76
    anson
    -0.75
     Cosponsors
    -0.72
    reg
    -0.67
    Cola
    -0.67
    umbs
    -0.67
    CAST
    -0.67
    xon
    -0.65
    reme
    -0.63
    displayText
    -0.63
    POSITIVE LOGITS
    chool
    0.95
     halls
    0.93
     residence
    0.88
    maid
    0.86
    llah
    0.79
     Halls
    0.77
    loo
    0.76
    uating
    0.73
    iture
    0.72
    uates
    0.71
    Activations Density 0.010%

    No Known Activations