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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. 7071
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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
    Not in Any Lists

    No Comments

    Negative Logits
    Hor
    -0.80
     Block
    -0.74
     Hor
    -0.66
    IAS
    -0.63
     reverted
    -0.61
    igue
    -0.60
     block
    -0.59
     critic
    -0.58
     repr
    -0.58
     worshipped
    -0.58
    POSITIVE LOGITS
    izons
    0.86
    soDeliveryDate
    0.83
    merce
    0.75
    gencies
    0.75
    gettable
    0.72
    cedented
    0.71
    artisan
    0.70
    zin
    0.69
    ramer
    0.68
    irtual
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.