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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. 4-RES-JB
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    Explanations

    mentions of sales and financial transactions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sales and their variations across different contexts

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

    No Comments

    Negative Logits
    ¯¯
    -0.75
     Judicial
    -0.67
    OUS
    -0.63
    icz
    -0.63
    --+
    -0.62
     Rail
    -0.62
    OSE
    -0.61
    aque
    -0.59
     OC
    -0.58
     Penn
    -0.58
    POSITIVE LOGITS
    force
    1.02
    hare
    0.99
    manship
    0.97
    people
    0.93
    person
    0.88
     receipts
    0.87
    hips
    0.82
    women
    0.77
    achi
    0.77
     sales
    0.75
    Activations Density 0.021%

    No Known Activations