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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. 261
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    Explanations

    words related to the North and South Poles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to polar characteristics or extreme contrasts

    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
    bler
    -0.82
    lished
    -0.76
    CHA
    -0.76
    ECH
    -0.76
    ptroller
    -0.75
    alach
    -0.73
    eem
    -0.73
    eh
    -0.71
    esis
    -0.69
    ei
    -0.69
    POSITIVE LOGITS
     vortex
    0.95
    izing
    0.90
     oppos
    0.86
     polar
    0.85
    oid
    0.85
    ities
    0.81
     bear
    0.81
    ized
    0.80
     gears
    0.79
     Polar
    0.79
    Activations Density 0.021%

    No Known Activations