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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. 18072
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    Explanations

    proper nouns related to a specific brand or company

    oai_token-act-pair · gpt-3.5-turbo

    references to the Kroger company

    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
    ioxide
    -0.76
    raints
    -0.74
    hips
    -0.72
     PowerPoint
    -0.72
    ingham
    -0.67
     CPC
    -0.66
    Journal
    -0.66
    anamo
    -0.63
    uated
    -0.63
    IBLE
    -0.63
    POSITIVE LOGITS
     Kro
    1.18
    ijn
    0.94
    oked
    0.90
    ven
    0.87
    zag
    0.85
     Klux
    0.84
    sey
    0.82
    ffe
    0.81
    lett
    0.81
    bie
    0.80
    Activations Density 0.004%

    No Known Activations