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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. 8689
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    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
     regulating
    -0.81
    soType
    -0.80
     illuminating
    -0.76
    soDeliveryDate
    -0.74
     taxing
    -0.72
     Printed
    -0.70
    canon
    -0.70
     Fires
    -0.68
     Editing
    -0.67
    ãĤ´
    -0.66
    POSITIVE LOGITS
     undergo
    1.42
     flee
    1.29
     receive
    1.23
     survive
    1.20
     suffer
    1.19
     voluntarily
    1.17
     die
    1.16
     testify
    1.14
     escape
    1.13
     migrate
    1.13
    Activations Density 0.472%

    No Known Activations