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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16957
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    Explanations

    situations where effort is being made to solve a problem or reach a goal

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "find" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    panic
    -0.82
    dating
    -0.65
    idium
    -0.65
    psey
    -0.60
    WARNING
    -0.60
    pir
    -0.59
    istry
    -0.59
     fracturing
    -0.59
    adding
    -0.58
    pire
    -0.58
    POSITIVE LOGITS
     loopholes
    0.94
     ways
    0.86
     out
    0.80
    ById
    0.79
    omething
    0.75
     fault
    0.73
    ibility
    0.73
    ource
    0.72
    uments
    0.70
    ãĤ¤ãĥĪ
    0.69
    Activations Density 0.070%

    No Known Activations