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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. 6358
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    Explanations

    specific words related to privacy, discreetness, and hidden operations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to secrecy and hidden activities

    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
    onian
    -0.73
     Polo
    -0.72
     oranges
    -0.68
    ingo
    -0.63
    onz
    -0.62
    izzard
    -0.61
    asper
    -0.61
    ounge
    -0.60
    okemon
    -0.58
    SW
    -0.56
    POSITIVE LOGITS
    ly
    1.55
    LY
    1.06
    ively
    1.05
    cffff
    0.91
    uously
    0.88
    ously
    0.88
    edly
    0.85
    ity
    0.84
    ELY
    0.82
    lys
    0.82
    Activations Density 0.028%

    No Known Activations