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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. 896
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    Explanations

    words related to negative outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "failure" and its context, specifically related to failures in various systems or processes

    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
    selves
    -0.76
    utra
    -0.73
    rete
    -0.69
    enfranch
    -0.66
    estamp
    -0.64
    ople
    -0.63
     Sed
    -0.63
    esthetic
    -0.62
    riel
    -0.62
    Ec
    -0.62
    POSITIVE LOGITS
     miser
    1.15
    DEV
    0.85
     failures
    0.84
     dism
    0.79
     failure
    0.74
    Failure
    0.73
    luster
    0.71
    fully
    0.67
     rate
    0.67
    ulence
    0.66
    Activations Density 0.027%

    No Known Activations