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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. 4-RES-JB
    11. 15512
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    Explanations

    phrases indicating exclusion or omission

    oai_token-act-pair · gpt-3.5-turbo

    instances of being excluded or overlooked

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elf
    -0.70
    acca
    -0.68
    sych
    -0.67
    ept
    -0.64
    nc
    -0.62
    ricanes
    -0.62
    tyard
    -0.62
    orial
    -0.62
     AFL
    -0.62
    ationally
    -0.62
    POSITIVE LOGITS
     scraps
    0.82
     throats
    0.79
     gaping
    0.74
    etter
    0.71
     ashes
    0.69
     pond
    0.67
     compromising
    0.66
     watering
    0.66
    iquid
    0.65
     toast
    0.65
    Activations Density 0.035%

    No Known Activations