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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. 23063
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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
     Okin
    -0.65
     athlet
    -0.60
     spor
    -0.59
     Angus
    -0.57
    iris
    -0.56
     Morning
    -0.55
    URI
    -0.55
     outspoken
    -0.55
     arrivals
    -0.55
     stroke
    -0.55
    POSITIVE LOGITS
    lo
    0.79
    ystem
    0.73
    Ground
    0.72
    thora
    0.71
    aah
    0.70
    ivas
    0.68
     FIR
    0.68
    haul
    0.67
    adows
    0.67
    ocaust
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.