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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 14823
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omen
    -0.69
    CVE
    -0.65
    ItemThumbnailImage
    -0.64
    meric
    -0.62
    esthesia
    -0.62
     Thames
    -0.61
    cone
    -0.61
    stocks
    -0.60
     lapt
    -0.60
    manac
    -0.60
    POSITIVE LOGITS
    zel
    1.05
    ting
    0.95
    rans
    0.94
    rey
    0.92
     unfocusedRange
    0.91
    arget
    0.86
    ooth
    0.86
    tell
    0.83
    irement
    0.81
    zman
    0.81
    Activations Density 0.015%

    No Known Activations