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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. 3-RES-JB
    11. 8928
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    Explanations

    symbols like 'Ċ' in the text

    oai_token-act-pair · gpt-3.5-turbo

    high numerical values, particularly in contexts related to large groups or significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boro
    -0.72
    ĸļ
    -0.60
     Robot
    -0.58
    utics
    -0.57
     undet
    -0.54
    otine
    -0.53
     hust
    -0.53
     endeav
    -0.53
     Reincarnated
    -0.52
     instinct
    -0.52
    POSITIVE LOGITS
    Meanwhile
    1.01
    ccording
    0.98
    However
    0.93
    Despite
    0.88
    Since
    0.86
    Besides
    0.85
    Instead
    0.84
    Although
    0.84
    Nevertheless
    0.84
    Even
    0.83
    Activations Density 0.865%

    No Known Activations