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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. 10-RES-JB
    11. 10431
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    Explanations

    words related to describing actions or individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "described" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achable
    -0.67
    isdom
    -0.66
    osure
    -0.64
    IER
    -0.64
    valid
    -0.63
    ernels
    -0.62
    ortium
    -0.61
    ï¸ı
    -0.61
    SOURCE
    -0.61
    isd
    -0.61
    POSITIVE LOGITS
     how
    1.11
     himself
    0.92
     herself
    0.88
     themselves
    0.86
     him
    0.76
     why
    0.75
    enance
    0.74
     ourselves
    0.74
     itself
    0.72
     what
    0.71
    Activations Density 0.073%

    No Known Activations