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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. 10863
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    Explanations

    phrases or character sequences that do not follow any discernible pattern or meaning

    oai_token-act-pair · gpt-3.5-turbo

    characters or symbols corresponding to non-standard alphabets or encoding

    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
    ebted
    -0.78
     Faw
    -0.73
    BuyableInstoreAndOnline
    -0.72
     Druid
    -0.68
     Doe
    -0.68
     Candy
    -0.65
     Starr
    -0.65
     Mara
    -0.65
     Perkins
    -0.64
     Bun
    -0.63
    POSITIVE LOGITS
    Ĵ
    1.40
    ±
    1.39
    ³
    1.39
    ¿
    1.38
    Ķ
    1.37
    ·
    1.37
    ¶
    1.35
    ¹
    1.35
    ¡
    1.35
    ł
    1.34
    Activations Density 0.016%

    No Known Activations