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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. 14596
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    Explanations

    specific grades or academic levels mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to educational grade levels

    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
    sonian
    -0.71
    opol
    -0.71
    orius
    -0.66
    itarian
    -0.64
    orthy
    -0.64
     favourable
    -0.63
    eous
    -0.63
    sung
    -0.63
    sten
    -0.62
    imentary
    -0.62
    POSITIVE LOGITS
     classroom
    0.92
     kindergarten
    0.84
    inois
    0.83
     boys
    0.81
     Teachers
    0.81
    boys
    0.81
     classrooms
    0.81
     girls
    0.79
     Boys
    0.79
     Teacher
    0.79
    Activations Density 0.039%

    No Known Activations