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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. 1659
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    Explanations

    details about past experiences, especially ones related to age

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to age or childhood experiences

    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
    OUN
    -0.73
    ATURES
    -0.66
    ASE
    -0.66
    \\\\\\\\
    -0.66
    ologies
    -0.61
     MUST
    -0.61
     distinguishes
    -0.60
    CAN
    -0.60
    WAYS
    -0.60
     governs
    -0.60
    POSITIVE LOGITS
    uated
    0.73
    orthy
    0.72
    racted
    0.72
    chester
    0.70
    uffed
    0.68
    powered
    0.67
    zin
    0.66
    interrupted
    0.66
    liest
    0.66
    ped
    0.66
    Activations Density 0.200%

    No Known Activations