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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 741
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    Explanations

    the name "Fran"

    oai_token-act-pair · gpt-4-turbo

    mentions of the name "Fran" at varying levels of importance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Fran" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tomat
    -0.77
    scape
    -0.75
    eenth
    -0.74
    een
    -0.70
    accompanied
    -0.69
    ammed
    -0.69
    gow
    -0.68
    pter
    -0.65
    akening
    -0.65
    ivid
    -0.65
    POSITIVE LOGITS
     Fran
    1.13
    Fran
    1.05
     Dres
    1.00
    furt
    0.93
    zen
    0.91
    kel
    0.90
     Vog
    0.83
    ois
    0.79
    ãĥ£
    0.77
    ç
    0.76
    Activations Density 0.010%

    No Known Activations