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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. 3-RES-JB
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    Explanations

    the presence of the word "sent"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sent" in various contexts

    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
    OWER
    -0.69
    ESS
    -0.63
    cube
    -0.63
    Fram
    -0.61
    etus
    -0.60
    ãĥİ
    -0.60
    theless
    -0.60
     Tune
    -0.58
    Times
    -0.57
    phe
    -0.57
    POSITIVE LOGITS
    inel
    1.10
    keys
    0.86
    entious
    0.85
    imental
    0.85
    iments
    0.83
    entary
    0.81
    ãĥĥãĥī
    0.80
     sent
    0.78
    irection
    0.78
    opolis
    0.74
    Activations Density 0.027%

    No Known Activations