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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. 9505
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    Explanations

    actions or instructions involving covering, wrapping, or overlaying objects

    oai_token-act-pair · gpt-3.5-turbo

    references to materials and coverings 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
    incarn
    -0.76
    IGHTS
    -0.74
    ãĥīãĥ©ãĤ´ãĥ³
    -0.70
    qual
    -0.69
    ceans
    -0.67
     resurg
    -0.67
    ãĤŃ
    -0.67
    ACTED
    -0.66
    undown
    -0.66
    Contin
    -0.65
    POSITIVE LOGITS
     covering
    0.94
     wrap
    0.93
     coated
    0.89
     securely
    0.86
     protr
    0.85
    cloth
    0.85
     encl
    0.84
     layer
    0.84
     thickness
    0.84
     insulation
    0.84
    Activations Density 0.221%

    No Known Activations