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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. 2801
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    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
    Not in Any Lists

    No Comments

    Negative Logits
     Ples
    -0.79
     subp
    -0.62
     neigh
    -0.62
    grain
    -0.59
     crit
    -0.57
    finding
    -0.57
     rud
    -0.57
    iasis
    -0.57
    doctor
    -0.56
     succ
    -0.56
    POSITIVE LOGITS
    oppable
    1.05
    akable
    0.93
    QL
    0.93
    quished
    0.83
    cedented
    0.81
    ernel
    0.80
    ables
    0.77
    ailability
    0.76
    arthed
    0.76
    erving
    0.75
    Activations Density 0.108%

    No Known Activations