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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. 23237
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    INDEX
    Explanations

    mentions of celebrities or famous individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of notable individuals or celebrities

    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
    ĸļ
    -0.97
    apons
    -0.90
    Downloadha
    -0.89
    veyard
    -0.87
    »Ĵ
    -0.83
    ĵĺ
    -0.79
    nsic
    -0.78
    sembly
    -0.77
    etimes
    -0.77
    odcast
    -0.76
    POSITIVE LOGITS
    liner
    0.90
     star
    0.88
    star
    0.86
    light
    0.86
    burst
    0.86
    fish
    0.85
    stars
    0.81
    rod
    0.81
    ring
    0.81
    points
    0.80
    Activations Density 0.021%

    No Known Activations