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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. 9-RES-JB
    11. 5545
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific terms and concepts related to various subjects, including materials, characters, and concepts of responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    astern
    -0.73
    UNCH
    -0.64
    outhern
    -0.62
    ected
    -0.62
    ctor
    -0.61
    ELF
    -0.60
    ICT
    -0.58
    ASED
    -0.56
    pport
    -0.56
    assic
    -0.55
    POSITIVE LOGITS
    s
    2.98
    sburg
    1.67
    sie
    1.62
    sb
    1.53
    sf
    1.45
    sin
    1.43
    ski
    1.43
    sis
    1.42
    sg
    1.39
    sburgh
    1.38
    Activations Density 0.745%

    No Known Activations