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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. 6-RES-JB
    11. 5565
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    Explanations

    measurements expressed in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    measurements in millimeters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lez
    -0.85
    GROUND
    -0.80
    matched
    -0.78
    comes
    -0.74
    actionDate
    -0.73
    come
    -0.71
    hran
    -0.71
    sponsored
    -0.70
    peak
    -0.70
    beat
    -0.68
    POSITIVE LOGITS
     diameter
    0.98
    mmm
    0.84
    ORPG
    0.83
     thickness
    0.79
    ooth
    0.77
     socket
    0.77
     radial
    0.74
     rays
    0.74
    asonic
    0.70
     ammunition
    0.70
    Activations Density 0.013%

    No Known Activations