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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. 11998
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    Explanations

    non-physical, abstract concepts related to errors and faults

    oai_token-act-pair · gpt-3.5-turbo

    references to mistakes and failures

    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
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    No Comments

    Negative Logits
    asus
    -0.77
    owder
    -0.74
    OV
    -0.73
    ateur
    -0.71
    jet
    -0.68
    mun
    -0.66
    RA
    -0.66
    DES
    -0.66
    trak
    -0.65
    ramid
    -0.65
    POSITIVE LOGITS
    cale
    1.12
     abound
    0.98
    omething
    0.96
    pring
    0.90
    hooting
    0.88
     plag
    0.87
    cape
    0.84
    pace
    0.83
    ome
    0.83
    ":[{"
    0.81
    Activations Density 0.317%

    No Known Activations