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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. 23988
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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
    stem
    -0.65
    essen
    -0.64
     paraph
    -0.64
    stic
    -0.63
    acles
    -0.61
     pain
    -0.58
     inaccur
    -0.58
     hyper
    -0.58
    ham
    -0.58
     poverty
    -0.57
    POSITIVE LOGITS
     Seym
    0.79
    manship
    0.76
     fundament
    0.74
     proport
    0.74
    mble
    0.70
     uter
    0.70
     arrang
    0.67
    Discuss
    0.67
    */(
    0.65
     foss
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.