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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. 7-RES-JB
    11. 23765
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    Explanations

    descriptions or comments related to specific figurines or sculptures

    oai_token-act-pair · gpt-3.5-turbo

    references to specific figures or characters, particularly in the context of descriptions or analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.87
    DAQ
    -0.85
    ntil
    -0.82
    ModLoader
    -0.82
    velength
    -0.79
    umenthal
    -0.75
    IFE
    -0.74
    ãĥ¯ãĥ³
    -0.74
    cyclopedia
    -0.73
    Interstitial
    -0.71
    POSITIVE LOGITS
     skating
    0.96
     prominently
    0.89
    enance
    0.89
    head
    0.85
    downs
    0.81
     figures
    0.78
    heads
    0.75
    doms
    0.75
     macros
    0.74
    books
    0.72
    Activations Density 0.032%

    No Known Activations