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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. 9341
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    INDEX
    Explanations

    phrases indicating novelty or uniqueness in comparison to the past

    oai_token-act-pair · gpt-3.5-turbo

    references to unprecedented occurrences or changes

    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
    achine
    -0.69
    uana
    -0.65
    oother
    -0.64
    atta
    -0.63
    assies
    -0.60
    urst
    -0.59
    uilt
    -0.59
    oiler
    -0.59
    urches
    -0.58
    assi
    -0.58
    POSITIVE LOGITS
     hitherto
    0.94
     previously
    0.92
     otherwise
    0.87
     elsewhere
    0.81
     conventional
    0.80
     anywhere
    0.79
     ordinarily
    0.76
     previous
    0.73
     Humans
    0.72
    before
    0.71
    Activations Density 0.365%

    No Known Activations