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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. 15531
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    Explanations

    descriptions or mentions of something in specific, possibly a detailed explanation or indication of a particular concept, person, or place

    oai_token-act-pair · gpt-3.5-turbo

    words related to descriptions or references to entities and 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
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.73
    manship
    -0.71
    ħĭ
    -0.67
    cius
    -0.66
     purse
    -0.64
     semblance
    -0.63
     athlet
    -0.62
    etooth
    -0.61
    Ĥ¬
    -0.60
    hands
    -0.60
    POSITIVE LOGITS
    ript
    1.51
    ribing
    1.14
    ribed
    1.09
    ribe
    1.02
    endants
    1.01
    ribes
    1.00
    oded
    0.96
    sson
    0.94
    riber
    0.94
    rane
    0.91
    Activations Density 0.056%

    No Known Activations