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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. 4-RES-JB
    11. 14347
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    elements related to success and achievement

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

    No Comments

    Negative Logits
    etheless
    -0.73
     toget
    -0.58
     unused
    -0.57
    theless
    -0.55
     chem
    -0.51
    cellaneous
    -0.51
     depths
    -0.50
     nav
    -0.50
     fines
    -0.49
     libel
    -0.49
    POSITIVE LOGITS
     Collection
    0.76
     Guys
    0.76
     Club
    0.71
     Boys
    0.65
     Therapy
    0.64
     Disorder
    0.64
     Initiative
    0.63
     Syndrome
    0.62
     Movement
    0.62
     Wife
    0.61
    Activations Density 0.742%

    No Known Activations