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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. 11-RES-JB
    11. 6176
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    Explanations

    terms related to the rear of a vehicle

    oai_token-act-pair · gpt-3.5-turbo

    references to the rear part of vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.80
    âĸĪâĸĪ
    -0.76
    ername
    -0.74
    eteria
    -0.74
    oleon
    -0.73
    phis
    -0.72
    redients
    -0.71
    terday
    -0.71
    ensable
    -0.70
    nesday
    -0.70
    POSITIVE LOGITS
    view
    1.17
    ward
    1.15
     axle
    1.09
     bumper
    1.03
     tyre
    0.98
    wards
    0.96
     derail
    0.88
     wheel
    0.87
    side
    0.87
     seat
    0.85
    Activations Density 0.034%

    No Known Activations