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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. 4-RES-JB
    11. 1266
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    Explanations

    statements about factual information or discussions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant events or conditions that may cause concern

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

    No Comments

    Negative Logits
    .).
    -0.61
    ".[
    -0.59
    ".
    -0.57
    usercontent
    -0.56
    NetMessage
    -0.55
    renheit
    -0.54
    instead
    -0.52
    '.
    -0.51
    ''.
    -0.50
     therein
    -0.49
    POSITIVE LOGITS
    pires
    0.55
    leaf
    0.50
     varies
    0.49
     depends
    0.46
     Loll
    0.45
     evolves
    0.45
     involves
    0.44
     implies
    0.44
     hindsight
    0.43
    mentioned
    0.42
    Activations Density 4.014%

    No Known Activations