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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. 13924
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    Explanations

    words related to a particular entity called "Tru"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and brands

    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
    bour
    -0.81
    rium
    -0.79
    tered
    -0.73
     surve
    -0.71
    lab
    -0.70
    merce
    -0.66
    hematic
    -0.66
     fluor
    -0.65
    nah
    -0.64
     Eucl
    -0.63
    POSITIVE LOGITS
    fires
    0.78
     Meadows
    0.72
    illo
    0.72
    veland
    0.71
     Franch
    0.70
     Mub
    0.69
    ée
    0.68
    escription
    0.68
    inelli
    0.67
    aneous
    0.67
    Activations Density 0.064%

    No Known Activations