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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. 8836
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    Explanations

    phrases indicating an action of looking at or reviewing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest examining or discussing various subjects

    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
    cell
    -0.72
    Church
    -0.70
    trap
    -0.69
    widget
    -0.68
    CI
    -0.68
    theless
    -0.66
    operated
    -0.66
    isSpecialOrderable
    -0.66
    CH
    -0.66
    soever
    -0.66
    POSITIVE LOGITS
     whats
    0.80
     how
    0.71
     puberty
    0.69
    ĸļ
    0.69
    mosp
    0.65
    abase
    0.65
     least
    0.63
     finer
    0.63
     the
    0.63
     angles
    0.63
    Activations Density 0.032%

    No Known Activations