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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. 12-RES-JB
    6. 3843
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    INDEX
    Explanations

    actions and outcomes related to performance and success

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    actions or performance evaluations related to various subjects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ithing
    -0.79
    eros
    -0.78
    ibi
    -0.74
    urrent
    -0.72
    ython
    -0.69
    rador
    -0.68
    ritical
    -0.68
    edia
    -0.66
    ulent
    -0.66
    ļéĨĴ
    -0.65
    POSITIVE LOGITS
     well
    1.86
     poorly
    1.56
     nicely
    1.44
     wonderfully
    1.40
     brilliantly
    1.40
     beautifully
    1.39
     exceptionally
    1.35
     perfectly
    1.34
    well
    1.31
     fine
    1.30
    Activations Density 0.426%

    No Known Activations