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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. 9-RES-JB
    11. 3391
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    Explanations

    references to numerical values or statistics in documents

    oai_token-act-pair · gpt-3.5-turbo

    various forms of content related to advertisements and media mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aird
    -0.72
    pard
    -0.71
    ktop
    -0.68
    interstitial
    -0.66
    nce
    -0.62
    anchester
    -0.62
    ifice
    -0.59
    bender
    -0.58
    emet
    -0.56
    tnc
    -0.56
    POSITIVE LOGITS
    çĶ°
    0.76
     Spoiler
    0.71
    aic
    0.63
    cerpt
    0.61
     guessed
    0.61
    HI
    0.60
     denotes
    0.59
    zeb
    0.59
    =~=~
    0.59
    VL
    0.58
    Activations Density 0.227%

    No Known Activations