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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. 7-RES-JB
    11. 8859
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    Explanations

    words related to design and planning

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to items or systems that are intentionally created or structured for a specific purpose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    water
    -0.74
    hold
    -0.68
    yards
    -0.66
    asta
    -0.65
    rika
    -0.65
     Michaels
    -0.63
    Thom
    -0.62
    hus
    -0.62
    held
    -0.62
    oner
    -0.61
    POSITIVE LOGITS
    urally
    0.91
     Parenthood
    0.86
    ators
    0.82
     flaw
    0.82
    irection
    0.79
    urat
    0.79
    ating
    0.77
    rador
    0.76
    yout
    0.74
    ATED
    0.72
    Activations Density 0.040%

    No Known Activations