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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. 6-RES-JB
    11. 15165
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    Explanations

    mentions of living arrangements or locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "residence" and variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    romeda
    -0.76
    displayText
    -0.71
    reg
    -0.69
    aneously
    -0.68
    sid
    -0.68
    lass
    -0.66
    reme
    -0.66
    Cola
    -0.65
    REE
    -0.64
    umbs
    -0.64
    POSITIVE LOGITS
     halls
    1.01
    maid
    0.91
     Halls
    0.90
    chool
    0.86
     residence
    0.74
    loo
    0.73
     hall
    0.71
    llah
    0.71
    cation
    0.69
    uates
    0.67
    Activations Density 0.026%

    No Known Activations