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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. 7-RES-JB
    6. 15497
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    Explanations

    references to financial assets or monetary resources

    oai_token-act-pair · gpt-3.5-turbo

    references to financial resources or funding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ange
    -0.73
    Temperature
    -0.70
     Wand
    -0.66
    LY
    -0.65
    tons
    -0.64
     indign
    -0.64
    ICLE
    -0.64
     Loud
    -0.63
     Halls
    -0.60
    WithNo
    -0.60
    POSITIVE LOGITS
     transfers
    0.93
    raising
    0.92
     appropriated
    0.91
     allocated
    0.90
     laundering
    0.86
     expended
    0.83
    flows
    0.83
     allocation
    0.83
     allocations
    0.82
     deposited
    0.82
    Activations Density 0.018%

    No Known Activations