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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. 1-RES-JB
    11. 18638
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    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual, particularly related to commentary or analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    calling
    -0.82
    erala
    -0.74
    holding
    -0.73
    population
    -0.66
    LEASE
    -0.64
    raising
    -0.63
     Aboriginal
    -0.63
    viron
    -0.63
    ATHER
    -0.62
    åº
    -0.62
    POSITIVE LOGITS
     Rubin
    1.07
    ophone
    0.87
    ules
    0.85
     Beasts
    0.81
    icals
    0.79
    oids
    0.79
    ivas
    0.78
    usra
    0.78
    osaurs
    0.77
    ĸļ
    0.76
    Activations Density 0.005%

    No Known Activations