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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. 1-RES-JB
    11. 21693
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    Explanations

    references to locations or places

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "NEW" indicating a location or fresh context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mop
    -0.68
    76561
    -0.67
     vain
    -0.67
    stood
    -0.67
    ppe
    -0.64
     beh
    -0.63
    iop
    -0.62
    xual
    -0.62
    agn
    -0.62
     inh
    -0.61
    POSITIVE LOGITS
     YORK
    1.31
    NEW
    1.19
    foundland
    1.09
    PORT
    1.01
    CAST
    0.95
    CLASSIFIED
    0.91
    ARK
    0.88
    bies
    0.87
    FTWARE
    0.83
    theless
    0.83
    Activations Density 0.004%

    No Known Activations