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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. 3114
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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
     Levant
    -0.88
     confir
    -0.65
     coord
    -0.62
     stre
    -0.61
     pretext
    -0.60
     bloodstream
    -0.59
     condolences
    -0.58
     princ
    -0.58
     Palest
    -0.58
     Lens
    -0.58
    POSITIVE LOGITS
    boa
    0.88
    xus
    0.87
    uo
    0.84
    anu
    0.79
    chwitz
    0.79
    agy
    0.78
    kef
    0.78
    agra
    0.77
    pg
    0.75
    _-
    0.74
    Activations Density 0.041%

    No Known Activations