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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. 12248
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    INDEX
    Explanations

    comparative statements evaluating different options

    oai_token-act-pair · gpt-3.5-turbo

    comparisons expressing the concept of "better" in various contexts

    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
    ité
    -0.76
    riage
    -0.70
    pex
    -0.68
    pter
    -0.66
    gemony
    -0.65
    ggles
    -0.63
    FK
    -0.61
    xton
    -0.60
    arm
    -0.60
    angles
    -0.60
    POSITIVE LOGITS
     than
    1.32
     suited
    1.13
     Than
    0.83
    than
    0.83
     behaved
    0.74
     prone
    0.69
     smelling
    0.69
    served
    0.67
     distingu
    0.67
     sounding
    0.67
    Activations Density 0.069%

    No Known Activations