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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. 9-RES-JB
    6. 9548
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    oai_token-act-pair · gpt-3.5-turbo

    sequences of characters or potentially URLs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     afore
    -0.72
     inval
    -0.72
     اÙĦ
    -0.62
    >"
    -0.60
     TEXT
    -0.59
     stead
    -0.57
     guiActiveUnfocused
    -0.56
     ["
    -0.56
     Sakuya
    -0.55
     unin
    -0.55
    POSITIVE LOGITS
    qa
    0.78
    vez
    0.76
    qv
    0.74
    bp
    0.74
    GO
    0.74
    qq
    0.73
    gp
    0.72
    q
    0.71
    vg
    0.71
    zx
    0.70
    Activations Density 0.028%

    No Known Activations