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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. 3-RES-JB
    11. 12973
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    Explanations

    mentions of physical stands or places where people stand

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to "stand," particularly in contexts involving physical or metaphorical stands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.93
    uliffe
    -0.87
    olean
    -0.68
    olved
    -0.65
     ILCS
    -0.65
    versely
    -0.64
     Photographer
    -0.62
    oleon
    -0.61
     polyg
    -0.61
    ulton
    -0.60
    POSITIVE LOGITS
    ings
    1.09
    pipe
    1.00
    ards
    0.93
    nings
    0.92
    ingly
    0.90
    s
    0.90
    bys
    0.88
    ances
    0.86
    lich
    0.82
    owed
    0.82
    Activations Density 0.022%

    No Known Activations