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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. 4-RES-JB
    11. 19560
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    Explanations

    quantitative measurements or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases that indicate measurement or evaluation

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

    No Comments

    Negative Logits
     Black
    -0.69
     Cop
    -0.61
    stown
    -0.61
     recy
    -0.61
     Warm
    -0.61
     TAMADRA
    -0.61
     DEAD
    -0.61
     Pirate
    -0.60
     Crimson
    -0.59
     Bor
    -0.59
    POSITIVE LOGITS
    IAS
    0.84
    iculty
    0.78
     approximation
    0.78
    Camera
    0.77
    ITNESS
    0.71
    erity
    0.69
    姫
    0.69
    ESA
    0.69
    HO
    0.67
    innacle
    0.66
    Activations Density 0.164%

    No Known Activations