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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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    Explanations

    mentions of the name "Hugo" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the name "Hugo" in various contexts

    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
    ramid
    -0.84
    patrick
    -0.73
    ickr
    -0.72
    ropolitan
    -0.70
    akening
    -0.70
    icago
    -0.69
    worn
    -0.68
    cape
    -0.66
    upload
    -0.66
    folk
    -0.66
    POSITIVE LOGITS
     Hugo
    1.22
     Chavez
    1.13
     Awards
    0.77
    Hug
    0.76
     Perez
    0.74
     Nebula
    0.73
     Muss
    0.73
     Hou
    0.73
     Hernandez
    0.72
     Paulo
    0.72
    Activations Density 0.005%

    No Known Activations