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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. 22345
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    Explanations

    statements or information that are described as accurate or true

    oai_token-act-pair · gpt-3.5-turbo

    references to factual accuracy and information

    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
    anian
    -0.73
    ertodd
    -0.72
    egal
    -0.72
    aroo
    -0.71
    heit
    -0.71
     Roses
    -0.71
    ring
    -0.69
     Nebula
    -0.69
    lain
    -0.68
    ventus
    -0.68
    POSITIVE LOGITS
    ãĥĥãĤ¯
    0.97
     inaccur
    0.85
    ALLY
    0.83
     factual
    0.82
     accuracy
    0.73
    orically
    0.72
    ãĥĥ
    0.71
     misunderstand
    0.71
    orical
    0.70
     inacc
    0.69
    Activations Density 0.036%

    No Known Activations