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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. 4157
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    Explanations

    individuals meeting with others for various reasons or contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "met with"

    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
    fighter
    -0.81
    works
    -0.72
    ©¶æ¥µ
    -0.67
    arily
    -0.66
    });
    -0.65
    planet
    -0.64
    phase
    -0.63
    let
    -0.62
    heon
    -0.62
    orius
    -0.62
    POSITIVE LOGITS
     strangers
    0.88
     attendees
    0.79
     coworkers
    0.78
    OTOS
    0.77
     representatives
    0.76
     impunity
    0.74
     constituents
    0.73
     colleagues
    0.70
     fellow
    0.69
    stood
    0.68
    Activations Density 0.051%

    No Known Activations