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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. 315
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    Explanations

    punctuation marks, particularly periods and special characters such as 'Ċ'

    oai_token-act-pair · gpt-3.5-turbo

    introductory phrases or statements commonly used in articles or essays

    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
     neighb
    -0.79
     mend
    -0.68
     choked
    -0.66
     aides
    -0.66
     Madd
    -0.66
     Aval
    -0.65
     Batt
    -0.64
     Alv
    -0.63
     detract
    -0.62
     Gomez
    -0.62
    POSITIVE LOGITS
    Firstly
    1.42
    Definition
    1.28
    Overview
    1.27
    First
    1.16
    Introduction
    1.13
    Traditional
    1.10
    Basically
    1.07
    Specifically
    1.06
    ccording
    1.05
    Reason
    1.05
    Activations Density 0.470%

    No Known Activations