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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. 1603
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    Explanations

    references to famous historical figures, specifically focusing on aspects related to their work or impact

    oai_token-act-pair · gpt-3.5-turbo

    references to Albert Einstein and his theories or related contexts

    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
    avis
    -0.78
    sticks
    -0.72
    erous
    -0.71
     Lives
    -0.70
    tons
    -0.69
    phrine
    -0.67
    ique
    -0.67
    lan
    -0.66
    orie
    -0.66
    scenes
    -0.66
    POSITIVE LOGITS
    arium
    0.80
    Äĩ
    0.78
    ulously
    0.73
    zzle
    0.73
    ason
    0.73
    ciplinary
    0.72
    isance
    0.71
    nesday
    0.70
    igent
    0.70
    uno
    0.69
    Activations Density 0.085%

    No Known Activations