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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. 10-RES-JB
    11. 7893
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    Explanations

    phrases related to reading or speaking information

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the content of messages or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anu
    -0.63
    ourning
    -0.58
    phi
    -0.58
    uve
    -0.57
    sin
    -0.56
     Ples
    -0.55
    emort
    -0.55
    responsible
    -0.54
     restart
    -0.54
    astern
    -0.54
    POSITIVE LOGITS
     aloud
    1.19
     omin
    0.90
    emphasis
    0.78
    cliffe
    0.76
    write
    0.75
     differently
    0.74
    written
    0.74
    ellig
    0.73
    \\\\\\\\
    0.73
    :]
    0.70
    Activations Density 0.018%

    No Known Activations