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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. 4-RES-JB
    11. 185
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HAHA
    -0.76
     Bravo
    -0.73
     resil
    -0.71
    BIP
    -0.71
    é¾įåĸļ士
    -0.70
    HAHAHAHA
    -0.70
    uliffe
    -0.68
    hold
    -0.67
    ãĥ£
    -0.66
    WAY
    -0.66
    POSITIVE LOGITS
    itude
    1.06
    rees
    0.99
    ember
    0.96
    icket
    0.94
    ools
    0.93
    uple
    0.92
    onent
    0.91
    raction
    0.91
    acular
    0.90
    acles
    0.89
    Activations Density 0.013%

    No Known Activations