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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. 12033
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    INDEX
    Explanations

    words related to thoughts, expectations, or assumptions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of conjecture or expectation

    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
    ffect
    -0.70
     scrim
    -0.70
    prototype
    -0.66
     sche
    -0.63
    CVE
    -0.63
    ammy
    -0.63
     Funk
    -0.61
    versions
    -0.60
     widow
    -0.60
    irst
    -0.60
    POSITIVE LOGITS
     Moreno
    0.73
     ---------
    0.69
     Trace
    0.66
    ername
    0.66
    ãĤ¦ãĤ¹
    0.64
    imaru
    0.64
    enance
    0.64
    rehens
    0.63
    uces
    0.63
    gat
    0.63
    Activations Density 0.125%

    No Known Activations