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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. 13247
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    Explanations

    references to technical specifications or features related to payloads in space technologies

    oai_token-act-pair · gpt-3.5-turbo

    references to payloads in various contexts

    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
    lex
    -0.82
     Ascend
    -0.69
    ERAL
    -0.66
    cium
    -0.66
    ocal
    -0.65
    âĸ¬âĸ¬
    -0.65
     Rite
    -0.63
    ect
    -0.63
    Egypt
    -0.63
    ection
    -0.63
    POSITIVE LOGITS
     payload
    1.22
     baskets
    0.78
    sburg
    0.77
     capacity
    0.76
     tray
    0.76
    emouth
    0.75
    orer
    0.72
    sheet
    0.71
     bay
    0.71
    atform
    0.70
    Activations Density 0.016%

    No Known Activations