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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. 8550
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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
    Ò
    -0.78
     Despair
    -0.73
     Jenner
    -0.73
     Sadd
    -0.71
     Hundred
    -0.71
     Ange
    -0.71
     Osw
    -0.70
    theless
    -0.68
     Yug
    -0.68
     Sisters
    -0.67
    POSITIVE LOGITS
    onomy
    1.26
    payer
    1.20
    onomic
    1.11
    onom
    1.09
     collectors
    1.06
    payers
    0.95
     collector
    0.94
     levied
    0.93
     havens
    0.86
    paying
    0.84
    Activations Density 0.027%

    No Known Activations