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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. 9984
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terminology related to settings, options, and features in a technical context

    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
    OST
    -0.70
    otos
    -0.64
    condition
    -0.63
    ished
    -0.63
     Schne
    -0.61
    riz
    -0.60
    ISH
    -0.60
     Stern
    -0.59
    stein
    -0.58
    Phys
    -0.58
    POSITIVE LOGITS
    heet
    1.54
    mith
    1.41
    ystem
    1.30
    hift
    1.22
    hare
    1.20
    cape
    1.20
    erver
    1.19
    pace
    1.19
    ilver
    1.19
    pring
    1.18
    Activations Density 0.462%

    No Known Activations