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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. 3-RES-JB
    11. 511
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    Explanations

    spoken words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to spoken language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    retty
    -0.87
    resses
    -0.83
    arte
    -0.82
    urat
    -0.81
    ikhail
    -0.76
    aredevil
    -0.75
    kefeller
    -0.72
    adr
    -0.71
    negie
    -0.70
    oufl
    -0.70
    POSITIVE LOGITS
     spoken
    1.15
     aloud
    1.04
     speakers
    0.87
     voices
    0.84
    bone
    0.84
     phon
    0.79
     artic
    0.78
     speaker
    0.77
     louder
    0.76
    voice
    0.75
    Activations Density 0.014%

    No Known Activations