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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. 0-RES-JB
    11. 19225
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    INDEX
    Explanations

    phrases indicating significance or importance

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "more importantly" to highlight significant points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     File
    -0.71
     Faust
    -0.62
     Web
    -0.60
     Prep
    -0.59
     series
    -0.58
     scene
    -0.58
     prow
    -0.57
    illon
    -0.57
    oir
    -0.56
     rec
    -0.55
    POSITIVE LOGITS
     importantly
    3.38
     interestingly
    1.45
     secondly
    1.40
     furthermore
    1.23
     important
    1.14
     Lastly
    1.14
     moreover
    1.06
     Secondly
    1.05
    cially
    1.05
    Lastly
    1.02
    Activations Density 0.016%

    No Known Activations