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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. 10-RES-JB
    11. 10237
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    Explanations

    references to names or entities with 'Mer' or 'rick' or 'Gar' in them

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Mer" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.67
    glers
    -0.63
     Nuggets
    -0.60
     pests
    -0.59
    ccording
    -0.58
     Archangel
    -0.57
    é¾įå¥ij士
    -0.57
     flyer
    -0.57
    å§
    -0.56
    abouts
    -0.56
    POSITIVE LOGITS
    coni
    0.96
    imer
    0.91
     Garland
    0.91
    affer
    0.85
    sey
    0.84
    owship
    0.81
    lees
    0.81
    hemy
    0.80
    weather
    0.77
    andise
    0.76
    Activations Density 0.114%

    No Known Activations