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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. 10-RES-JB
    11. 16473
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    Explanations

    references to high numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to high values or levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sov
    -0.83
    orio
    -0.76
    atio
    -0.64
    vous
    -0.63
    Wheel
    -0.62
     Chaser
    -0.62
    tnc
    -0.61
    ¯¯
    -0.60
    irit
    -0.60
    glass
    -0.59
    POSITIVE LOGITS
     enough
    1.11
     (>
    1.01
    est
    0.83
    fal
    0.83
     compared
    0.81
    enough
    0.78
    balls
    0.78
     Enough
    0.77
     levels
    0.76
     (~
    0.75
    Activations Density 0.081%

    No Known Activations