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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. 3-RES-JB
    11. 17806
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    Explanations

    terms related to challenges or obstacles that need to be overcome

    oai_token-act-pair · gpt-3.5-turbo

    references to bureaucratic obstacles and challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ropolitan
    -0.71
    icates
    -0.68
    icate
    -0.68
    ensing
    -0.68
     Magnetic
    -0.66
    onyms
    -0.64
    untled
    -0.63
    ication
    -0.62
    usion
    -0.62
    umo
    -0.61
    POSITIVE LOGITS
     hoops
    1.20
     hoop
    0.98
    hovah
    0.83
    agne
    0.81
    SourceFile
    0.79
     Blazers
    0.77
     Airl
    0.75
    jump
    0.74
    hawk
    0.74
     ®
    0.74
    Activations Density 0.019%

    No Known Activations