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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. 7-RES-JB
    11. 3127
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    Explanations

    phrases related to forming lines or queues

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    natureconservancy
    -0.83
    CVE
    -0.71
    reck
    -0.66
    cffffcc
    -0.65
     contagious
    -0.65
    ibles
    -0.65
    effic
    -0.64
    ISSION
    -0.63
    artifacts
    -0.63
    ULT
    -0.62
    POSITIVE LOGITS
    ups
    0.91
     up
    0.83
    up
    0.82
    arity
    0.81
    box
    0.80
    backer
    0.80
    boxes
    0.79
    pherd
    0.76
    ounge
    0.74
    umbered
    0.72
    Activations Density 0.027%

    No Known Activations