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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. 7-RES-JB
    11. 3575
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    Explanations

    specific words or phrases related to taking action, potentially with a sense of urgency

    oai_token-act-pair · gpt-3.5-turbo

    the word "out" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arsen
    -0.82
    avorite
    -0.74
     misunder
    -0.71
    uting
    -0.68
    interstitial
    -0.67
    ute
    -0.65
    jriwal
    -0.64
    UTERS
    -0.60
    maxwell
    -0.60
    ε
    -0.59
    POSITIVE LOGITS
    stretched
    0.95
    doors
    0.93
    door
    0.92
    raged
    0.91
    lier
    0.91
    dated
    0.88
    rage
    0.85
    landish
    0.84
    fitted
    0.83
    crop
    0.83
    Activations Density 0.035%

    No Known Activations