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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. 6553
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    Explanations

    mentions of physical locations, specifically venues

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations or venues

    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
    quel
    -0.77
    yan
    -0.73
    doms
    -0.69
    tan
    -0.68
    ooks
    -0.65
    sis
    -0.64
    sen
    -0.64
    lems
    -0.63
    teenth
    -0.63
    chie
    -0.63
    POSITIVE LOGITS
     venue
    1.08
     venues
    0.91
    goers
    0.90
    ctrl
    0.77
     organisers
    0.70
    eers
    0.69
    keepers
    0.69
     promoter
    0.68
    builder
    0.66
     cancell
    0.66
    Activations Density 0.011%

    No Known Activations