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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. 20493
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    Explanations

    references to reported incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to incidents or events

    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
    tsky
    -0.84
    emouth
    -0.82
    ularity
    -0.79
    icrobial
    -0.76
    ichick
    -0.76
    azy
    -0.76
    rows
    -0.73
    oliberal
    -0.73
    ophers
    -0.71
    ittens
    -0.71
    POSITIVE LOGITS
     involving
    1.07
     occurred
    0.89
    uality
    0.88
     perpetrated
    0.88
     occurring
    0.84
     happened
    0.84
    uates
    0.80
    uation
    0.79
    uated
    0.79
    UAL
    0.79
    Activations Density 0.033%

    No Known Activations