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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. 16353
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    INDEX
    Explanations

    instances of phrases related to specific actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to explicit consent and important factual elements in narratives

    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
     tremend
    -0.86
     nomine
    -0.86
     exting
    -0.85
     millenn
    -0.83
     unnecess
    -0.81
     princ
    -0.81
    ©¶æ
    -0.81
     neighb
    -0.75
     tiss
    -0.74
     destro
    -0.73
    POSITIVE LOGITS
    .:
    0.74
    .–
    0.72
    .(
    0.72
    .—
    0.70
    .$
    0.69
    .--
    0.68
    .-
    0.68
     attRot
    0.68
    .,
    0.66
    }.
    0.65
    Activations Density 0.068%

    No Known Activations