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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. 6895
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    Explanations

    phrases related to changes, modifications, or adjustments to something

    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
    ente
    -0.69
     erupted
    -0.68
     unveiling
    -0.63
    ĸļ
    -0.60
     stoked
    -0.59
    VIDIA
    -0.59
     accompanied
    -0.58
    rought
    -0.57
     accompan
    -0.57
     averaging
    -0.56
    POSITIVE LOGITS
     aspects
    1.01
    ones
    0.96
     facets
    0.90
     portions
    0.87
    things
    0.82
    thin
    0.81
     important
    0.81
    THING
    0.80
     sections
    0.77
     crucial
    0.77
    Activations Density 0.278%

    No Known Activations