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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. 4-RES-JB
    11. 997
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    Explanations

    ........the neuron is looking for phrases that follow a specific format

    oai_token-act-pair · gpt-3.5-turbo

    sentences that present sequences of ideas or information

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

    No Comments

    Negative Logits
    thal
    -0.71
    istar
    -0.70
    ibr
    -0.67
    amins
    -0.66
    ifer
    -0.66
    ibilities
    -0.64
    hillary
    -0.62
    obal
    -0.61
    Rated
    -0.61
    ima
    -0.60
    POSITIVE LOGITS
    dropping
    0.89
     ours
    0.86
    places
    0.77
    icio
    0.73
    theless
    0.72
    76561
    0.71
    location
    0.70
    wealth
    0.70
    wise
    0.69
    dro
    0.68
    Activations Density 0.060%

    No Known Activations