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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. 1-RES-JB
    11. 22730
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     apologize
    -0.84
     apologise
    -0.81
     guiActiveUnfocused
    -0.75
     apologies
    -0.66
    opathy
    -0.64
     earthqu
    -0.61
     regret
    -0.61
     conditioning
    -0.61
     explain
    -0.61
    UGE
    -0.61
    POSITIVE LOGITS
    hops
    0.74
    iola
    0.72
    orthy
    0.67
    or
    0.64
     footing
    0.63
     subversive
    0.63
    etheless
    0.62
    emis
    0.62
    lip
    0.61
    abal
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.