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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. 3519
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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
    lihood
    -0.84
    pload
    -0.74
    aughters
    -0.69
    ieth
    -0.69
     Gerr
    -0.68
    odox
    -0.67
    é¾įå
    -0.65
    aughs
    -0.64
     Gors
    -0.63
    æĥ
    -0.63
    POSITIVE LOGITS
    rique
    0.67
     resonance
    0.64
    chu
    0.63
    dial
    0.59
     isolation
    0.59
     mir
    0.58
    gran
    0.58
    din
    0.57
    bol
    0.57
    nexus
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.