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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. 172
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    Explanations

    entities or groups of people in authoritative or public roles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various groups of stakeholders or audiences

    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
    âĶĢâĶĢâĶĢâĶĢ
    -0.71
    frog
    -0.71
    yss
    -0.70
    Scient
    -0.66
    utherford
    -0.62
    Anything
    -0.62
    ×
    -0.62
    à¨
    -0.62
    ABLE
    -0.62
    Subject
    -0.62
    POSITIVE LOGITS
    wana
    0.87
    paces
    0.87
    hops
    0.83
    utra
    0.73
    hips
    0.73
    urches
    0.71
    iuses
    0.71
     rejoice
    0.71
    quartered
    0.70
    ortium
    0.69
    Activations Density 0.343%

    No Known Activations