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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. 3-RES-JB
    11. 15915
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    esson
    -0.74
    ¶æ
    -0.68
     incent
    -0.67
     caut
    -0.66
    ãĤ¹
    -0.66
     Blaz
    -0.66
    rencies
    -0.64
     nep
    -0.64
    izoph
    -0.64
     opio
    -0.63
    POSITIVE LOGITS
    ionage
    0.73
    akings
    0.64
    acious
    0.61
    phabet
    0.61
    reference
    0.60
    ulence
    0.60
    orough
    0.60
    hurst
    0.60
    ruck
    0.60
    cliffe
    0.59
    Activations Density 0.000%

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