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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. 0-RES-JB
    11. 6679
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    Explanations

    verbs related to actions or movements by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tery
    -0.72
    len
    -0.70
    ints
    -0.63
    istic
    -0.61
     base
    -0.61
    base
    -0.59
    ths
    -0.58
    ron
    -0.58
     intervals
    -0.58
     approval
    -0.58
    POSITIVE LOGITS
     brought
    3.15
     ushered
    1.76
     brings
    1.74
     bring
    1.70
     introduced
    1.69
     hauled
    1.50
     instituted
    1.48
     raised
    1.46
     spurred
    1.45
     lured
    1.44
    Activations Density 0.016%

    No Known Activations