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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. 3-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    references to town hall meetings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     OC
    -0.63
    âķIJâķIJ
    -0.62
     Kyoto
    -0.61
     Psy
    -0.61
     Penal
    -0.61
     UNIVERS
    -0.61
    hered
    -0.59
    RGB
    -0.59
     Continent
    -0.59
     colon
    -0.59
    POSITIVE LOGITS
    naire
    0.76
    ifact
    0.76
    aires
    0.74
     condem
    0.73
    iste
    0.72
    atum
    0.71
    marks
    0.68
    ues
    0.68
    eteria
    0.67
    taker
    0.67
    Activations Density 0.033%

    No Known Activations