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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. 23758
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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
    auri
    -0.72
    ulence
    -0.71
     Verb
    -0.68
    mine
    -0.68
    SourceFile
    -0.68
    ãĤ¨ãĥ«
    -0.67
    é¾įåĸļ士
    -0.66
    USS
    -0.65
     Pv
    -0.64
     bil
    -0.64
    POSITIVE LOGITS
    cloth
    0.81
    psey
    0.79
     unpop
    0.74
    trained
    0.69
    Trust
    0.68
    assembled
    0.67
    ña
    0.66
    trust
    0.66
    recogn
    0.65
    attle
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.