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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. 23136
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    Explanations

    proper names, potentially of people

    oai_token-act-pair · gpt-3.5-turbo

    the name "Bruno" and its variations in context

    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
    oral
    -0.92
    istors
    -0.76
    irgin
    -0.72
    estate
    -0.71
    pir
    -0.69
    olution
    -0.68
    ersive
    -0.67
    igating
    -0.66
    esthetic
    -0.66
    itamin
    -0.66
    POSITIVE LOGITS
     Bruno
    1.20
     corrid
    0.78
    olini
    0.78
     Garcia
    0.74
     mosqu
    0.70
     Jonas
    0.70
     Giul
    0.69
     tremend
    0.69
     Bernard
    0.68
     Paulo
    0.68
    Activations Density 0.006%

    No Known Activations