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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. 3-RES-JB
    11. 2826
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    Explanations

    text related to names of places or individuals

    oai_token-act-pair · gpt-3.5-turbo

    sequences of special characters and non-standard symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    izable
    -0.78
    ified
    -0.67
     guiActiveUnfocused
    -0.66
    mort
    -0.66
     Immunity
    -0.65
     Jelly
    -0.65
    stocks
    -0.65
     Mandela
    -0.64
    WARD
    -0.64
    enthal
    -0.64
    POSITIVE LOGITS
    ı
    1.53
    ĸ
    1.39
    ĥ
    1.38
    Ķ
    1.37
    Ĵ
    1.36
    ħ
    1.35
    Ģ
    1.35
    Ń
    1.34
    İ
    1.33
    Ľ
    1.32
    Activations Density 0.007%

    No Known Activations