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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
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    Explanations

    references to HDMI connections or devices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the HDMI interface and characters or themes related to "Archie."

    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
    secut
    -0.96
    lish
    -0.77
     confir
    -0.77
    edo
    -0.74
    zer
    -0.74
    erk
    -0.73
    properties
    -0.71
    rences
    -0.69
    itiveness
    -0.69
     princ
    -0.69
    POSITIVE LOGITS
    OST
    0.81
    pora
    0.74
    awaru
    0.72
    MpServer
    0.71
    pole
    0.70
    allo
    0.70
     Monteneg
    0.69
    ODUCT
    0.67
    AMA
    0.66
    olla
    0.66
    Activations Density 0.025%

    No Known Activations