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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. 20852
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    Explanations

    mentions of license plates

    oai_token-act-pair · gpt-3.5-turbo

    references to license plates

    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
    vernment
    -0.92
    ITNESS
    -0.90
    PRES
    -0.88
    ERAL
    -0.86
    gets
    -0.85
    CF
    -0.76
     Winston
    -0.74
     Kut
    -0.69
     Aud
    -0.69
    audi
    -0.69
    POSITIVE LOGITS
     plates
    1.58
    plate
    1.33
     plate
    1.28
    plates
    1.06
     Plate
    0.91
     ancest
    0.85
     lamps
    0.83
     cooker
    0.83
     dishes
    0.83
     iod
    0.82
    Activations Density 0.004%

    No Known Activations