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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. 4-RES-JB
    11. 20022
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    Explanations

    the word "thought"

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal thoughts or opinions

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

    No Comments

    Negative Logits
    acerb
    -0.69
    conservancy
    -0.68
    \-
    -0.68
     Peninsula
    -0.64
     PLUS
    -0.62
    ighters
    -0.62
    ipher
    -0.59
    Claim
    -0.59
    KY
    -0.59
    rypt
    -0.58
    POSITIVE LOGITS
    fully
    0.99
    lessly
    0.86
    rison
    0.86
    fulness
    0.81
    ventus
    0.76
    ileaks
    0.76
     provoking
    0.70
    ilyn
    0.69
    ful
    0.67
    ought
    0.66
    Activations Density 0.046%

    No Known Activations