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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. 11587
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    Explanations

    references to specific names or places

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and references to notable individuals or characters

    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
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    Negative Logits
    ongyang
    -0.46
    paio
    -0.45
    judicial
    -0.44
     WATCHED
    -0.43
     constitu
    -0.42
    APD
    -0.40
     Pastebin
    -0.39
     polarized
    -0.38
    cknow
    -0.38
     fung
    -0.38
    POSITIVE LOGITS
    cliffe
    0.47
    arius
    0.40
    illo
    0.39
    uin
    0.39
    irection
    0.37
    ãĤ©
    0.36
    issance
    0.36
    wagon
    0.35
    arious
    0.35
    iversary
    0.35
    Activations Density 9.435%

    No Known Activations