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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. 11075
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    Explanations

    adequate action phrases related to physical activities

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms

    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
     actionGroup
    -0.67
    ħĭ
    -0.65
     respons
    -0.60
    itar
    -0.58
    ĸļ
    -0.58
    advant
    -0.57
    dq
    -0.56
     Responsibility
    -0.56
     caucuses
    -0.55
     Hague
    -0.55
    POSITIVE LOGITS
     Carlo
    0.68
    auga
    0.68
    iffin
    0.60
    leon
    0.60
    midt
    0.59
    iled
    0.58
    bia
    0.58
     Sporting
    0.57
     Sachs
    0.57
    ricks
    0.57
    Activations Density 0.242%

    No Known Activations