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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. 7-RES-JB
    11. 18826
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    Explanations

    phrases related to physical actions of laying down or establishing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to resting or lying down

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.87
    ilation
    -0.63
     BY
    -0.63
    vill
    -0.62
    catentry
    -0.60
    ilant
    -0.60
    XM
    -0.60
     Mahar
    -0.60
    ovi
    -0.60
     pairing
    -0.59
    POSITIVE LOGITS
     groundwork
    1.11
     foundations
    0.87
     foundation
    0.86
    wn
    0.72
     lett
    0.70
     cornerstone
    0.70
    onics
    0.69
     laure
    0.68
     sheets
    0.68
    ettle
    0.67
    Activations Density 0.088%

    No Known Activations