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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. 9379
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    Explanations

    numeric codes related to events or details

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to specific codes or identifiers

    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
    icans
    -0.78
    atis
    -0.77
    amon
    -0.75
    alde
    -0.74
    istic
    -0.73
    skirts
    -0.72
    atism
    -0.72
    ebin
    -0.72
    ynski
    -0.71
    ItemTracker
    -0.70
    POSITIVE LOGITS
     ILCS
    0.78
    ption
    0.72
     needles
    0.71
    cffff
    0.71
    MENTS
    0.67
    lihood
    0.66
    OPLE
    0.64
    LECT
    0.64
    MHz
    0.63
    issance
    0.62
    Activations Density 0.030%

    No Known Activations