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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. 3677
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    Explanations

    phrases related to scientific research and evidence

    oai_token-act-pair · gpt-3.5-turbo

    references to the scientific consensus and its critique

    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
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    Negative Logits
    atra
    -0.77
     Pinball
    -0.77
    ktop
    -0.74
     Emblem
    -0.69
     Roses
    -0.69
     Terminal
    -0.68
    antha
    -0.67
     LU
    -0.66
     Rings
    -0.66
    onding
    -0.66
    POSITIVE LOGITS
     debunked
    1.17
    icist
    1.07
     discredited
    1.01
     factual
    1.00
    ument
    0.98
     debunk
    0.96
     sourced
    0.94
    facts
    0.92
     falsehood
    0.91
     misrepresent
    0.88
    Activations Density 0.350%

    No Known Activations