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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. 4-RES-JB
    11. 13415
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    Explanations

    phrases expressing understanding or comprehension

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stand" or variations thereof

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

    No Comments

    Negative Logits
    EStream
    -0.81
    versely
    -0.68
    oleon
    -0.66
    uliffe
    -0.65
    alus
    -0.64
    ulton
    -0.64
     vain
    -0.63
     calming
    -0.62
    ophys
    -0.61
    ynchronous
    -0.61
    POSITIVE LOGITS
    ards
    0.85
    owed
    0.82
    witz
    0.82
    ings
    0.80
    ances
    0.79
    BY
    0.78
    ingly
    0.77
    still
    0.77
    weights
    0.76
    pipe
    0.74
    Activations Density 0.015%

    No Known Activations