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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24247
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    Explanations

    entities like names, titles or organizations in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their contexts within citations and quotations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lling
    -0.74
    bably
    -0.69
    arer
    -0.67
     sulph
    -0.65
     inadequ
    -0.63
     forgotten
    -0.63
     lifes
    -0.63
    theless
    -0.63
    oeuv
    -0.63
     concentration
    -0.63
    POSITIVE LOGITS
    BRE
    0.93
    KT
    0.90
    FOX
    0.89
    SCP
    0.88
    ................................................................
    0.86
    Anonymous
    0.86
    WF
    0.86
    Screenshot
    0.85
    WARNING
    0.85
    GREEN
    0.83
    Activations Density 0.131%

    No Known Activations