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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. 4-RES-JB
    11. 14726
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    Explanations

    references to news agencies and types of information sources

    oai_token-act-pair · gpt-3.5-turbo

    references to media sources and image attributions

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

    No Comments

    Negative Logits
    akedown
    -0.73
    oxide
    -0.67
    rone
    -0.66
    ollar
    -0.66
    horn
    -0.63
    adelphia
    -0.62
    Bloom
    -0.61
    hews
    -0.61
    arget
    -0.61
    rones
    -0.61
    POSITIVE LOGITS
     millenn
    0.86
    Gaza
    0.76
     Cth
    0.70
    fecture
    0.70
     skelet
    0.67
    issance
    0.65
    Getty
    0.65
    arthed
    0.64
     conduc
    0.64
    SCP
    0.63
    Activations Density 0.095%

    No Known Activations