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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. 0-RES-JB
    11. 2106
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    certain punctuation or formatting marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terness
    -0.89
    thal
    -0.72
    vertis
    -0.70
    meal
    -0.67
    Tea
    -0.64
    sein
    -0.64
    ennial
    -0.63
     frivolous
    -0.62
    agogue
    -0.62
    ractions
    -0.62
    POSITIVE LOGITS
    ira
    0.65
    INK
    0.64
     "+
    0.62
    lected
    0.61
     Gonz
    0.61
    worn
    0.59
     Armored
    0.59
    Ctrl
    0.59
    behind
    0.58
     wielded
    0.58
    Activations Density 0.000%

    No Known Activations