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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. 11-RES-JB
    11. 5274
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVERS
    -0.81
    byn
    -0.78
    tis
    -0.71
    IVER
    -0.71
    gd
    -0.67
    wives
    -0.66
     sidx
    -0.66
    ional
    -0.65
    grad
    -0.64
    appropriately
    -0.64
    POSITIVE LOGITS
    eting
    1.52
     slate
    1.34
    ety
    1.10
     stare
    1.03
     stares
    1.01
    etry
    0.98
     canvas
    0.95
    eters
    0.92
    et
    0.90
    ets
    0.90
    Activations Density 0.043%

    No Known Activations