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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. 574
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    Explanations

    descriptive phrases or keywords that are significant or noteworthy

    oai_token-act-pair · gpt-3.5-turbo

    references to key details or important bits of 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
    esi
    -0.76
    oped
    -0.74
    ©¶æ
    -0.73
    raid
    -0.67
    opa
    -0.67
    sole
    -0.65
    enne
    -0.61
    aline
    -0.61
    oping
    -0.58
    gger
    -0.58
    POSITIVE LOGITS
    stroke
    0.90
     imaginable
    0.89
     aspects
    0.78
     details
    0.78
     pertaining
    0.76
     viz
    0.75
     detail
    0.70
     wrinkles
    0.70
     specifics
    0.69
     touches
    0.67
    Activations Density 0.369%

    No Known Activations