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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. 7308
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    phrases related to information or analysis

    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
     Unic
    -0.91
     Paran
    -0.74
     McG
    -0.72
     Unle
    -0.70
     CoC
    -0.69
     ARC
    -0.69
     Lomb
    -0.69
     Loll
    -0.68
     Orth
    -0.67
     LR
    -0.67
    POSITIVE LOGITS
     sidx
    0.83
     adv
    0.75
    ammy
    0.70
    llah
    0.68
    ames
    0.66
    amera
    0.66
    ma
    0.65
    dain
    0.65
    actionDate
    0.64
     wrench
    0.63
    Activations Density 0.378%

    No Known Activations