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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. 10180
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    INDEX
    Explanations

    sentences describing loss or defeat

    oai_token-act-pair · gpt-3.5-turbo

    articles, specifically the words "a" and "an"

    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
    grounds
    -0.81
     intentions
    -0.72
     arrangements
    -0.70
     factors
    -0.69
    evidence
    -0.66
    mods
    -0.64
    Edit
    -0.64
    SPONSORED
    -0.63
    Allow
    -0.63
    external
    -0.63
    POSITIVE LOGITS
     bunch
    1.21
     handful
    1.15
     lot
    1.10
     couple
    1.03
     sizeable
    1.00
     sizable
    0.99
     few
    0.99
     dozen
    0.98
     whopping
    0.98
     portion
    0.96
    Activations Density 0.282%

    No Known Activations