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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. 11547
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    Explanations

    words related to decision-making or actions that need to be taken

    oai_token-act-pair · gpt-3.5-turbo

    discussions about the presence or absence of certain values or elements, particularly in relation to a situation or condition

    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
    aeda
    -0.60
    renheit
    -0.60
    èĢħ
    -0.58
    OURCE
    -0.58
    代
    -0.54
    orthy
    -0.54
    éĹĺ
    -0.52
    enegger
    -0.52
     Transparency
    -0.51
    åħī
    -0.51
    POSITIVE LOGITS
     nonetheless
    0.86
    etheless
    0.81
     doesnt
    0.81
     didnt
    0.80
     nevertheless
    0.72
     beware
    0.69
     darn
    0.69
     dont
    0.66
     damn
    0.64
     forgot
    0.63
    Activations Density 0.518%

    No Known Activations