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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. 1622
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    Explanations

    the word "just" followed by different contexts or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the word "just" in various contexts

    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
    ussions
    -0.73
    cot
    -0.66
     Admission
    -0.63
     Restoration
    -0.63
     Remain
    -0.62
     unsuccessfully
    -0.60
    aste
    -0.59
    rowth
    -0.59
    lb
    -0.58
     Returning
    -0.58
    POSITIVE LOGITS
    soDeliveryDate
    0.79
    hett
    0.72
    ðŁ
    0.69
     tremend
    0.69
     FANT
    0.68
     understatement
    0.67
     ðŁij
    0.67
    inki
    0.67
     tha
    0.66
     pandemonium
    0.66
    Activations Density 0.389%

    No Known Activations