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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. 6-RES-JB
    11. 13810
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    Explanations

    phrases related to military operations and conflict

    oai_token-act-pair · gpt-3.5-turbo

    references to significant military or legal events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minist
    -0.63
    Sym
    -0.62
    Sund
    -0.59
    IRC
    -0.59
    administ
    -0.57
    ERG
    -0.56
    Var
    -0.56
    Sit
    -0.54
    Rot
    -0.53
     ACTIONS
    -0.52
    POSITIVE LOGITS
    .''.
    0.99
     etc
    0.91
     respectively
    0.90
    )).
    0.80
    .).
    0.76
    .''
    0.74
    .[
    0.74
    ."[
    0.73
    ''.
    0.70
    .'"
    0.70
    Activations Density 1.207%

    No Known Activations