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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. 24058
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    Explanations

    key terms related to identification documents or numbers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to identification documents and identification processes

    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
    ategory
    -0.87
    orld
    -0.84
    uden
    -0.84
    vern
    -0.77
    imeo
    -0.72
    auld
    -0.71
    tumblr
    -0.71
    ovie
    -0.70
    twitch
    -0.70
    plot
    -0.69
    POSITIVE LOGITS
     identification
    1.21
     Identification
    1.00
     IDs
    0.99
     credentials
    0.92
     ID
    0.86
     cards
    0.85
     credential
    0.81
     booths
    0.79
     identifiers
    0.78
     Aad
    0.77
    Activations Density 0.022%

    No Known Activations