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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. 4141
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    Explanations

    advanced vocabulary words indicating sophisticated level of achievement or description

    oai_token-act-pair · gpt-3.5-turbo

    intense adjectives that convey significant qualities or states

    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
    ©¶æ
    -0.87
     unfocusedRange
    -0.73
     alot
    -0.69
     specifically
    -0.66
     obviously
    -0.65
     guiIcon
    -0.65
     predominantly
    -0.60
    ãĥ³ãĤ¸
    -0.59
     specific
    -0.59
     mainly
    -0.59
    POSITIVE LOGITS
    *.
    0.95
    .
    0.91
    .</
    0.88
    .<
    0.86
    !.
    0.82
    .'
    0.82
    .*
    0.81
    .:
    0.80
    '.
    0.73
    .?
    0.72
    Activations Density 0.902%

    No Known Activations