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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. 9-RES-JB
    11. 16216
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    Explanations

    phrases indicating an evaluation or judgment from a specific perspective

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irm
    -0.73
    ifix
    -0.66
    een
    -0.65
    rils
    -0.65
    lyn
    -0.64
    camp
    -0.64
    agy
    -0.64
    merce
    -0.63
    okes
    -0.63
    ests
    -0.63
    POSITIVE LOGITS
     afar
    1.74
     whence
    1.20
     scratch
    1.18
     outset
    1.12
     standpoint
    1.12
     inception
    1.12
     perspective
    0.93
     inside
    0.93
     thence
    0.92
     obscurity
    0.87
    Activations Density 0.128%

    No Known Activations