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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. 14536
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    Explanations

    proper nouns, possibly related to politics and military matters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    tenance
    -0.76
    Reloaded
    -0.70
    MAP
    -0.69
    COM
    -0.69
    âĶĢâĶĢâĶĢâĶĢ
    -0.68
    Pod
    -0.67
     yourselves
    -0.66
    MAG
    -0.65
     acknow
    -0.63
    Mos
    -0.62
    POSITIVE LOGITS
     Khe
    0.76
    ajo
    0.73
    pires
    0.71
    ulu
    0.71
    ihara
    0.69
    zu
    0.67
    atta
    0.67
    mony
    0.66
    azi
    0.65
    hari
    0.65
    Activations Density 0.286%

    No Known Activations