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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. 6-RES-JB
    11. 21866
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.93
    inen
    -0.81
    oppable
    -0.74
    ĨĴ
    -0.74
    zsche
    -0.73
    ochemical
    -0.71
    hya
    -0.70
    eanor
    -0.69
    anmar
    -0.68
    ensation
    -0.67
    POSITIVE LOGITS
    heads
    1.04
    head
    1.02
     arrow
    1.00
     arrows
    0.93
    heading
    0.85
     shaft
    0.83
     prope
    0.80
    RL
    0.78
     Arrows
    0.78
    fish
    0.75
    Activations Density 0.022%

    No Known Activations