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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. 23471
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    Explanations

    phrases describing actions or statements made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "made" in various contexts

    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
    hens
    -0.80
    icals
    -0.69
    sit
    -0.68
     peppers
    -0.66
    assis
    -0.66
     herbs
    -0.66
    houses
    -0.62
    atts
    -0.60
    terson
    -0.60
     Suit
    -0.59
    POSITIVE LOGITS
     sure
    0.87
    BLIC
    0.80
    arations
    0.77
    vious
    0.76
    itious
    0.75
     payable
    0.71
    itions
    0.71
    Dispatch
    0.70
    dinand
    0.70
     strides
    0.70
    Activations Density 0.054%

    No Known Activations