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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. 7334
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ORED
    -0.76
    IFIED
    -0.74
     Sussex
    -0.67
     actors
    -0.65
     Hodg
    -0.64
     Mayweather
    -0.63
    URES
    -0.61
     surgeons
    -0.61
     kernels
    -0.60
     bearer
    -0.59
    POSITIVE LOGITS
    inen
    1.13
    ä
    1.12
    ¢
    1.11
    ternity
    0.99
    ·
    0.94
    ¶
    0.94
    hl
    0.91
    ki
    0.90
    nder
    0.88
    cia
    0.87
    Activations Density 0.014%

    No Known Activations