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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. 9-RES-JB
    11. 4643
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    Explanations

    words related to personal names

    oai_token-act-pair · gpt-3.5-turbo

    words related to alcoholic beverages or distillation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lance
    -0.84
    awei
    -0.70
    rences
    -0.69
     Seym
    -0.68
    population
    -0.66
    eas
    -0.66
    ingly
    -0.65
    kward
    -0.65
    spin
    -0.64
    aepernick
    -0.64
    POSITIVE LOGITS
    osaurs
    1.03
    ned
    1.02
    ny
    0.98
    fo
    0.97
    ergic
    0.93
    eman
    0.92
    strument
    0.91
    itis
    0.90
    jad
    0.85
    igans
    0.84
    Activations Density 0.148%

    No Known Activations