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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. 7281
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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
     multim
    -0.50
    staking
    -0.49
     ancest
    -0.47
     crest
    -0.46
     novelty
    -0.46
     notch
    -0.46
     bureaucr
    -0.45
     psychiat
    -0.45
     retri
    -0.45
     projecting
    -0.45
    POSITIVE LOGITS
    ak
    0.65
    aj
    0.65
    ani
    0.63
    ax
    0.61
    ix
    0.60
    ania
    0.59
    oth
    0.59
    gard
    0.59
    oz
    0.58
    ich
    0.58
    Activations Density 0.354%

    No Known Activations