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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. 1642
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to sharpness or intensity

    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
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    Negative Logits
    uthor
    -0.78
    YL
    -0.76
     Alive
    -0.76
    FORE
    -0.75
    pty
    -0.74
    ORED
    -0.71
    isSpecialOrderable
    -0.67
    reon
    -0.66
     Leia
    -0.65
    repeat
    -0.64
    POSITIVE LOGITS
    ened
    1.29
    ening
    1.22
    ener
    1.07
    ness
    1.04
    est
    1.00
    eness
    0.87
    edo
    0.86
     arrow
    0.84
     blade
    0.82
    eners
    0.81
    Activations Density 0.033%

    No Known Activations