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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
    11. 11205
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    Explanations

    mentions of successful or noteworthy accomplishments made by individuals in various fields

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "make."

    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
     Vest
    -0.77
    PLIED
    -0.66
     vest
    -0.65
    thouse
    -0.64
    heter
    -0.64
    lex
    -0.61
     Columb
    -0.61
     Ples
    -0.60
     uterus
    -0.59
     womb
    -0.59
    POSITIVE LOGITS
    hift
    0.87
    ailable
    0.84
    æĪ¦
    0.79
    overs
    0.78
    umbles
    0.78
     landfall
    0.77
    tackle
    0.77
    nces
    0.75
     sure
    0.71
    ÄŁ
    0.70
    Activations Density 0.052%

    No Known Activations