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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. 24542
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    Explanations

    numbers and specific terms related to historical events or locations

    oai_token-act-pair · gpt-3.5-turbo

    suffixes related to specific noun forms

    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
     prick
    -0.70
     bunny
    -0.63
     Boulder
    -0.63
     bumps
    -0.62
     Beaver
    -0.61
     oats
    -0.61
     tumble
    -0.60
     KKK
    -0.59
     Bullets
    -0.59
    OPLE
    -0.59
    POSITIVE LOGITS
    thal
    0.82
    otropic
    0.81
    upe
    0.77
    adic
    0.76
    ertain
    0.73
    ryn
    0.71
    rop
    0.71
    ament
    0.70
    arine
    0.70
    inations
    0.70
    Activations Density 0.115%

    No Known Activations