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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. 2531
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    Explanations

    phrases related to analyzing and discussing possible scenarios, recommendations, and considerations

    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
    ufact
    -0.67
    anwhile
    -0.58
     compliant
    -0.55
     cabinets
    -0.55
    ãĥ³ãĤ¸
    -0.55
    assadors
    -0.55
     staffed
    -0.54
     Facilities
    -0.52
    Cele
    -0.52
    doors
    -0.51
    POSITIVE LOGITS
     Chomsky
    0.77
     theorem
    0.77
     why
    0.77
     presupp
    0.74
     fallacy
    0.72
     succinct
    0.71
     Hegel
    0.71
    alogy
    0.71
     empir
    0.71
    why
    0.69
    Activations Density 0.912%

    No Known Activations