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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. 7-RES-JB
    11. 19344
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    Explanations

    phrases related to political and economic issues, often discussing alternative courses of action

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character 'ľ'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     apes
    -0.79
     ropes
    -0.72
     honors
    -0.71
     roots
    -0.71
     clones
    -0.71
     mounts
    -0.70
     machines
    -0.70
     clitor
    -0.68
     reflex
    -0.68
     accur
    -0.67
    POSITIVE LOGITS
    ï¸ı
    1.34
    ï¸
    0.97
    âĶĢâĶĢ
    0.90
    cffffcc
    0.88
    ternity
    0.86
    uthor
    0.83
    ICE
    0.82
     Edited
    0.81
    conom
    0.81
    amily
    0.80
    Activations Density 0.180%

    No Known Activations