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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. 1683
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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
    anan
    -0.71
    shore
    -0.65
    strap
    -0.63
    Merit
    -0.63
    land
    -0.63
    fall
    -0.62
    bones
    -0.62
    bley
    -0.60
    twitch
    -0.59
    lands
    -0.58
    POSITIVE LOGITS
     dissemination
    1.15
    sheets
    1.01
    atform
    0.94
     dissemin
    0.94
     leaflets
    0.93
     flyers
    0.87
     distributing
    0.82
     pamph
    0.81
    sheet
    0.77
     distribute
    0.76
    Activations Density 0.024%

    No Known Activations