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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. 3-RES-JB
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.89
     Balt
    -0.70
     Frie
    -0.69
     proced
    -0.64
     Aval
    -0.62
     regress
    -0.61
     Loud
    -0.61
    senal
    -0.58
     Gins
    -0.58
     overdue
    -0.58
    POSITIVE LOGITS
    au
    0.83
    lisher
    0.82
    dp
    0.81
    ff
    0.80
    verage
    0.78
    pletion
    0.78
    gary
    0.78
    enson
    0.76
    levision
    0.76
    jon
    0.76
    Activations Density 0.016%

    No Known Activations