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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. 3-RES-JB
    6. 11365
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    Explanations

    phrases related to expressing desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    surprisingly
    -0.71
    RPG
    -0.63
    arthed
    -0.60
    Pg
    -0.59
    ãĤ´ãĥ³
    -0.59
    inducing
    -0.56
    itled
    -0.55
     frontman
    -0.55
    utterstock
    -0.54
    Ult
    -0.54
    POSITIVE LOGITS
     ..."
    1.38
     â̦"
    1.37
    %"
    1.26
    .")
    1.24
    )",
    1.22
    )"
    1.21
    )."
    1.16
    ."[
    1.13
    ..."
    1.11
    .""
    1.11
    Activations Density 2.601%

    No Known Activations