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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. 11-RES-JB
    11. 4936
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    Explanations

    phrases related to initiating actions or endeavors

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to initiating actions or campaigns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oping
    -0.62
    abling
    -0.60
    esan
    -0.59
    verages
    -0.57
    oling
    -0.57
    enhagen
    -0.57
    ertodd
    -0.55
    uala
    -0.55
     prevailed
    -0.55
    ______
    -0.55
    POSITIVE LOGITS
     INTO
    1.03
     anew
    0.97
     into
    0.95
     Into
    0.87
     probes
    0.80
     campaigns
    0.74
    igate
    0.73
     balloons
    0.73
    into
    0.72
    launch
    0.72
    Activations Density 0.083%

    No Known Activations