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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. 19637
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    Explanations

    names or titles with a comma after them

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    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
    Not in Any Lists

    No Comments

    Negative Logits
    iaries
    -0.76
    icultural
    -0.69
     incentive
    -0.68
    hesda
    -0.67
    nosis
    -0.65
     slowdown
    -0.65
     knee
    -0.64
     payroll
    -0.64
     impulse
    -0.64
    ritional
    -0.63
    POSITIVE LOGITS
     Mole
    0.76
     aka
    0.76
    SourceFile
    0.75
     abbre
    0.73
     Mechdragon
    0.72
    Appearance
    0.71
    meaning
    0.71
    é¾
    0.71
     Rahman
    0.70
    ãĤ´ãĥ³
    0.67
    Activations Density 0.377%

    No Known Activations