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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. 1-RES-JB
    11. 5209
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    #$
    -0.65
    ranged
    -0.64
    ront
    -0.63
    nect
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     Meal
    -0.59
    asses
    -0.58
    abl
    -0.58
    abilities
    -0.58
    edin
    -0.56
    hol
    -0.56
    POSITIVE LOGITS
    ĨĴ
    0.71
    interstitial
    0.70
     currents
    0.66
     McCarthy
    0.64
     shrug
    0.64
     defenses
    0.64
    jriwal
    0.64
    estones
    0.63
    ulic
    0.61
     punches
    0.59
    Activations Density 0.000%

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