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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. 6-RES-JB
    6. 3267
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    Explanations

    references to sales or business transactions

    oai_token-act-pair · gpt-3.5-turbo

    references to sales and sales figures

    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
    icz
    -0.74
    --+
    -0.69
     Judicial
    -0.67
    atever
    -0.65
    OUS
    -0.64
     Schne
    -0.63
    ¯¯
    -0.63
    OSE
    -0.62
    ODE
    -0.58
    eworks
    -0.58
    POSITIVE LOGITS
    force
    1.04
    manship
    1.00
    people
    0.97
    person
    0.95
    hare
    0.94
    hips
    0.93
     receipts
    0.90
    pers
    0.81
    women
    0.79
    achi
    0.78
    Activations Density 0.036%

    No Known Activations