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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. 15316
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    Explanations

    references to the mind or mental activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of the mind

    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
     Vide
    -0.69
    INO
    -0.67
    Recomm
    -0.63
    ARDS
    -0.63
    reek
    -0.63
     Municip
    -0.62
     Licensed
    -0.61
    DIR
    -0.60
     Mehran
    -0.60
     Slay
    -0.60
    POSITIVE LOGITS
    fulness
    1.18
    storms
    1.10
    bender
    1.01
    lessly
    0.98
    ets
    0.98
    share
    0.94
    piece
    0.91
    fuck
    0.90
    scape
    0.89
    ful
    0.87
    Activations Density 0.042%

    No Known Activations