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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
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    Explanations

    references to the brand 'Mercedes'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific car brands, particularly Mercedes

    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
    umbn
    -0.85
    ingo
    -0.74
    ochond
    -0.69
    atching
    -0.69
    ANK
    -0.66
    orescent
    -0.66
    ariat
    -0.65
    alloween
    -0.64
    arity
    -0.64
    aneously
    -0.63
    POSITIVE LOGITS
    cedes
    1.43
     Benz
    1.27
    Benz
    1.11
     Mercedes
    1.01
     lapt
    0.93
    manship
    0.80
     seiz
    0.80
     agre
    0.78
    wagon
    0.77
     compr
    0.76
    Activations Density 0.004%

    No Known Activations