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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. 10-RES-JB
    11. 11429
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    Explanations

    percentages in text

    oai_token-act-pair · gpt-3.5-turbo

    percentages and their related expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worldly
    -0.92
    zie
    -0.82
    åĤ
    -0.75
    edin
    -0.74
    isure
    -0.73
    andr
    -0.70
    æ©
    -0.67
    achus
    -0.65
    ipples
    -0.64
    anse
    -0.64
    POSITIVE LOGITS
     Invisible
    0.91
     certainty
    0.84
     satisfaction
    0.80
     accuracy
    0.77
     pure
    0.76
     humidity
    0.76
     purity
    0.71
     accurate
    0.71
    heartedly
    0.69
     cotton
    0.69
    Activations Density 0.047%

    No Known Activations