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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. 17878
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    INDEX
    Explanations

    statistics or numerical information in the text

    oai_token-act-pair · gpt-3.5-turbo

    data related to economic metrics and comparisons across different demographics

    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
     reluctantly
    -0.71
     promptly
    -0.69
     ASAP
    -0.68
     wondered
    -0.66
     understandably
    -0.66
     intriguing
    -0.65
     boldly
    -0.64
     accordingly
    -0.62
     unwittingly
    -0.61
     reminiscent
    -0.60
    POSITIVE LOGITS
    emouth
    0.75
     conventional
    0.74
    outer
    0.71
     previous
    0.68
     other
    0.67
    pees
    0.67
    average
    0.67
    verages
    0.66
    dinand
    0.66
     neighboring
    0.65
    Activations Density 0.381%

    No Known Activations