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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. 1-RES-JB
    11. 21419
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    Explanations

    phrases related to significant events or developments

    oai_token-act-pair · gpt-3.5-turbo

    references to events occurring in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phies
    -0.79
    ijk
    -0.79
    mens
    -0.78
    rete
    -0.78
    zie
    -0.77
    ondo
    -0.77
    zech
    -0.75
    atures
    -0.74
    bay
    -0.70
    ighth
    -0.70
    POSITIVE LOGITS
     happening
    0.98
     occurring
    0.89
     undone
    0.88
     unlaw
    0.86
     mosqu
    0.78
     happen
    0.77
    ãĥ£
    0.75
     occurrences
    0.72
     Rebell
    0.71
    åħī
    0.71
    Activations Density 0.009%

    No Known Activations