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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. 10-RES-JB
    6. 261
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    INDEX
    Explanations

    mentions of companies and organizations with a strong positive or negative association

    oai_token-act-pair · gpt-3.5-turbo

    sentences that include a high frequency of commas, suggesting a focus on lists or complex structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -0.75
    ãĥ¯ãĥ³
    -0.74
    ãģł
    -0.70
    itialized
    -0.70
    ¶ħ
    -0.69
    )</
    -0.68
    cember
    -0.68
    etheless
    -0.66
    chnology
    -0.64
     (#
    -0.64
    POSITIVE LOGITS
     according
    1.41
     says
    1.35
     said
    1.25
     experts
    1.21
     writes
    1.15
    according
    1.10
     explains
    1.10
     argues
    1.09
     analysts
    1.06
     Says
    1.05
    Activations Density 0.503%

    No Known Activations