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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. 4-RES-JB
    11. 4078
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    Explanations

    the word "under" followed by numeric values

    oai_token-act-pair · gpt-3.5-turbo

    the word "under" in various contexts

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

    No Comments

    Negative Logits
    erity
    -0.74
    bernatorial
    -0.69
    apons
    -0.67
    illac
    -0.65
    ickr
    -0.64
    eln
    -0.64
    ãĥ£
    -0.63
    iami
    -0.63
    wl
    -0.62
    hran
    -0.62
    POSITIVE LOGITS
    wear
    1.12
    neath
    1.03
    lings
    1.00
    tain
    0.94
    stood
    0.94
    blind
    0.92
    standing
    0.91
    graduate
    0.88
    ground
    0.88
    lying
    0.83
    Activations Density 0.015%

    No Known Activations