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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 310
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    Explanations

    numerical sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and their corresponding contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.71
    minist
    -0.69
    earable
    -0.68
    76561
    -0.67
    Reloaded
    -0.62
    utor
    -0.60
    Response
    -0.59
    ariat
    -0.59
    anan
    -0.58
    assets
    -0.58
    POSITIVE LOGITS
     respectively
    0.84
     istg
    0.84
    +.
    0.70
     etc
    0.70
    ,...
    0.69
    ++
    0.69
    ++)
    0.66
    +,
    0.65
    idine
    0.63
     punches
    0.63
    Activations Density 0.089%

    No Known Activations