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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
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    Explanations

    specific mentions or descriptions of musical records

    oai_token-act-pair · gpt-3.5-turbo

    mentions of music records or albums

    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
    cius
    -0.76
     Leth
    -0.72
    laus
    -0.72
    Ĭ±
    -0.71
     hypert
    -0.70
    EStreamFrame
    -0.70
     Liang
    -0.69
    hiro
    -0.68
     Brach
    -0.66
     Dent
    -0.66
    POSITIVE LOGITS
     cassette
    0.88
    company
    0.86
    audio
    0.83
     albums
    0.82
     labels
    0.80
    stores
    0.80
    raid
    0.79
    record
    0.73
     drums
    0.73
     producer
    0.73
    Activations Density 0.024%

    No Known Activations