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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14018
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    INDEX
    Explanations

    phrases related to luring or baiting

    oai_token-act-pair · gpt-3.5-turbo

    language related to deception or entrapment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urity
    -0.82
    blance
    -0.73
    oret
    -0.69
    yrus
    -0.69
    eas
    -0.69
    olitan
    -0.68
    ppard
    -0.67
    eely
    -0.66
    ias
    -0.65
    iator
    -0.65
    POSITIVE LOGITS
     lure
    1.08
     bait
    1.03
    ument
    0.96
    mong
    0.90
    glers
    0.84
    EStream
    0.82
     Wag
    0.78
    GGGGGGGG
    0.76
    crow
    0.71
    ãĥĦ
    0.70
    Activations Density 0.036%

    No Known Activations