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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. 7-RES-JB
    11. 15361
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    Explanations

    names or terms related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    names or identifiers of individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.93
    GROUP
    -0.74
    ĵĺ
    -0.67
     Windsor
    -0.66
    LOAD
    -0.62
    Topics
    -0.59
     prostitutes
    -0.59
     intersections
    -0.59
    LOCK
    -0.57
     poisons
    -0.56
    POSITIVE LOGITS
    hyde
    0.82
    hai
    0.78
    ieri
    0.77
    xia
    0.75
    afort
    0.74
    omach
    0.72
    lander
    0.72
    amide
    0.72
    jiang
    0.72
    nih
    0.71
    Activations Density 0.285%

    No Known Activations