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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. 1033
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    INDEX
    Explanations

    phrases indicating desire or intention

    oai_token-act-pair · gpt-3.5-turbo

    first-person pronouns and expressions of desire or intention

    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
    oddy
    -0.67
    Occ
    -0.67
    Pear
    -0.62
     Commentary
    -0.60
    ean
    -0.59
    sequent
    -0.58
    Dom
    -0.57
    DX
    -0.57
    ecd
    -0.57
    span
    -0.56
    POSITIVE LOGITS
     want
    1.90
    want
    1.71
     WANT
    1.68
     wants
    1.58
     Want
    1.56
     wanted
    1.54
     wanna
    1.44
     wanting
    1.38
     crave
    1.32
     desire
    1.29
    Activations Density 0.226%

    No Known Activations