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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. 6893
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    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
    iful
    -0.68
     Awakening
    -0.66
    ifully
    -0.64
     Flore
    -0.64
     Participants
    -0.63
    arian
    -0.61
    ory
    -0.60
     Altern
    -0.60
    ibrary
    -0.60
     Zan
    -0.60
    POSITIVE LOGITS
     ought
    1.08
     cared
    0.87
     shouldn
    0.85
     liked
    0.84
     deserved
    0.83
     mattered
    0.82
     appreciate
    0.81
     wanted
    0.80
    nit
    0.76
     wanna
    0.76
    Activations Density 0.051%

    No Known Activations