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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. 10-RES-JB
    11. 1062
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hs
    -0.66
    liest
    -0.60
    ioned
    -0.56
    parts
    -0.52
     JP
    -0.52
    cific
    -0.51
     directions
    -0.51
    âĢİ
    -0.51
     Puppet
    -0.51
    aways
    -0.51
    POSITIVE LOGITS
     guiActiveUnfocused
    0.63
     guiActive
    0.62
    Ĥİ
    0.61
    irmation
    0.59
     Delicious
    0.58
     indemn
    0.58
    ĵĺ
    0.57
     occupancy
    0.55
     receive
    0.54
     nicotine
    0.54
    Activations Density 0.019%

    No Known Activations