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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. 8-RES-JB
    11. 3942
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    Explanations

    instances where there is a call to take action on a particular issue or problem

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a need for action regarding a specific issue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igm
    -0.82
    gerald
    -0.76
    glas
    -0.76
    haps
    -0.68
    yond
    -0.66
    iom
    -0.65
    ggle
    -0.65
    gil
    -0.65
    gins
    -0.65
    che
    -0.64
    POSITIVE LOGITS
    erous
    0.82
    isance
    0.80
     nuisance
    0.72
    ById
    0.65
     impunity
    0.63
     subsidies
    0.62
     pesky
    0.60
     perceived
    0.59
     stray
    0.58
     whatsoever
    0.58
    Activations Density 0.105%

    No Known Activations