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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. 6-RES-JB
    11. 23799
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    Explanations

    names associated with a specific individual

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or characters associated with notable events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Skydragon
    -0.83
    ï¸ı
    -0.78
    catentry
    -0.69
     territorial
    -0.69
    ģĸ
    -0.66
     Pwr
    -0.65
    Emb
    -0.65
    RET
    -0.62
    Legend
    -0.59
     hurd
    -0.59
    POSITIVE LOGITS
    hof
    0.99
    asin
    0.79
    nikov
    0.78
     pas
    0.74
    eni
    0.71
    igans
    0.71
    anyahu
    0.69
    warm
    0.69
    ploy
    0.69
    ophon
    0.69
    Activations Density 0.075%

    No Known Activations