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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. 1-RES-JB
    11. 411
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    INDEX
    Explanations

    mentions of notable or exceptional accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    past tense verbs, particularly relating to significant events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seniors
    -0.67
     inexper
    -0.65
     defences
    -0.63
    itionally
    -0.63
     favour
    -0.62
    ¿
    -0.62
     youthful
    -0.61
    gencies
    -0.61
     readers
    -0.60
     Labour
    -0.60
    POSITIVE LOGITS
     Niet
    0.95
    dropping
    0.76
     Disneyland
    0.74
    yip
    0.74
    $$$$
    0.73
    eday
    0.73
    ESS
    0.73
     Vaugh
    0.71
     Duffy
    0.71
     Oo
    0.70
    Activations Density 0.000%

    No Known Activations