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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. 6-RES-JB
    11. 17447
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    Explanations

    words related to active participation and engagement in various activities or projects

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "involved"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ©ãĥ³
    -0.67
     Tale
    -0.64
    omach
    -0.64
     passage
    -0.63
     flu
    -0.63
     Gleaming
    -0.62
    ipe
    -0.61
    orf
    -0.61
    OIL
    -0.61
    \\\\\\\\
    -0.60
    POSITIVE LOGITS
    enza
    0.90
    ioned
    0.86
    itaire
    0.83
    cius
    0.80
    ulkan
    0.73
    Offline
    0.73
    ive
    0.70
     involved
    0.70
    atform
    0.68
     actively
    0.67
    Activations Density 0.027%

    No Known Activations