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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. 15075
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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
    axis
    -0.81
    assian
    -0.81
    onest
    -0.81
    oral
    -0.78
    ivot
    -0.78
    antis
    -0.77
    apped
    -0.76
    lords
    -0.76
    ilion
    -0.75
    apping
    -0.74
    POSITIVE LOGITS
     closure
    0.74
     Subst
    0.73
     Wass
    0.72
     Zoro
    0.70
     Flavoring
    0.67
     deduction
    0.67
     fireball
    0.67
    Reviewer
    0.65
     mustard
    0.65
     NON
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.