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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. 9-RES-JB
    11. 3066
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    Explanations

    phrases related to the action of bringing something or someone

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bring" and its variations, indicating a focus on actions related to bringing or contributing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raid
    -0.76
    taker
    -0.65
    beh
    -0.65
    livious
    -0.64
    hai
    -0.64
     preferring
    -0.62
    Lago
    -0.62
     disadvant
    -0.62
    uary
    -0.62
    bda
    -0.62
    POSITIVE LOGITS
     forth
    0.96
     forward
    0.89
     down
    0.81
     together
    0.79
    down
    0.76
     clarity
    0.76
     back
    0.76
    igate
    0.72
     awareness
    0.71
     closure
    0.67
    Activations Density 0.108%

    No Known Activations