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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. 3003
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    Explanations

    adjectives related to being hard to find or obtain

    oai_token-act-pair · gpt-3.5-turbo

    terms related to elusiveness and secrecy

    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
    oration
    -0.75
    udeb
    -0.72
    osit
    -0.71
    Demand
    -0.69
    galitarian
    -0.67
    gage
    -0.67
    puter
    -0.66
    mson
    -0.66
    zinski
    -0.66
    BW
    -0.66
    POSITIVE LOGITS
     elusive
    1.12
    cffff
    0.85
     enigmatic
    0.83
     assassin
    0.82
     secretive
    0.81
     adolesc
    0.75
     culprit
    0.73
     violet
    0.72
     corners
    0.71
     mysterious
    0.70
    Activations Density 0.015%

    No Known Activations