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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. 6-RES-JB
    11. 7060
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    Explanations

    phrases related to specific technical acronyms or abbreviations containing the letters "GR" and the number following "GR" increasing with the level of activation

    oai_token-act-pair · gpt-3.5-turbo

    abbreviated or coded references to specific groups or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ters
    -0.83
    manship
    -0.76
    lihood
    -0.75
    tern
    -0.75
    hered
    -0.73
    sels
    -0.71
     Learns
    -0.68
    epad
    -0.68
    phrine
    -0.67
     fashioned
    -0.67
    POSITIVE LOGITS
    APH
    1.22
    ADE
    1.13
    izont
    0.91
    ASS
    0.91
    ATOR
    0.90
    OUND
    0.90
    RM
    0.88
    ANT
    0.84
    ACE
    0.84
    ATH
    0.83
    Activations Density 0.018%

    No Known Activations