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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. 4558
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    Explanations

    phrases related to taking decisive steps or measures

    oai_token-act-pair · gpt-3.5-turbo

    references to taking action in various contexts

    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
    conservancy
    -0.80
     arsen
    -0.72
    ench
    -0.66
    iciency
    -0.64
     abund
    -0.64
     abundant
    -0.62
     Argon
    -0.61
     possessions
    -0.60
     perl
    -0.60
    oiler
    -0.59
    POSITIVE LOGITS
     action
    0.93
    ulatory
    0.92
    iveness
    0.89
    ivism
    0.87
    naires
    0.86
    ality
    0.86
    action
    0.86
    igraph
    0.84
    uality
    0.81
    utherford
    0.79
    Activations Density 0.028%

    No Known Activations