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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. 9-RES-JB
    11. 23690
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    entimes
    -0.75
     manif
    -0.71
    mith
    -0.69
     pockets
    -0.66
     suspic
    -0.65
    ²¾
    -0.64
     infringing
    -0.64
     claimants
    -0.64
    hiba
    -0.63
     claimant
    -0.62
    POSITIVE LOGITS
     âĢİ
    0.87
    BUT
    0.86
    etc
    0.79
     Appears
    0.72
    Bah
    0.72
    SIGN
    0.70
    ãĥĺ
    0.69
    classic
    0.69
    holiday
    0.68
    inery
    0.67
    Activations Density 0.033%

    No Known Activations