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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 419
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    INDEX
    Explanations

    mention of photographs or images

    oai_token-act-pair · gpt-3.5-turbo

    references to media, particularly photos and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.66
    weak
    -0.63
    coni
    -0.62
    Friend
    -0.62
    ingham
    -0.58
    ounded
    -0.56
    rost
    -0.55
    rities
    -0.55
    Love
    -0.55
    igham
    -0.54
    POSITIVE LOGITS
     earners
    0.74
     contender
    0.68
     swoop
    0.68
    venture
    0.67
    nings
    0.66
    acher
    0.66
    dl
    0.62
    yip
    0.62
     Hai
    0.62
     pyramid
    0.62
    Activations Density 0.158%

    No Known Activations