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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. 17135
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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
    strings
    -0.67
     ado
    -0.67
     awa
    -0.65
     blur
    -0.63
     McCain
    -0.60
     whis
    -0.59
     Dele
    -0.58
    gie
    -0.58
    court
    -0.58
    otrop
    -0.57
    POSITIVE LOGITS
    KI
    1.21
    KT
    1.19
    IRE
    1.10
    OWN
    1.07
    KA
    1.07
    ARS
    1.05
    ER
    1.04
    ENE
    1.04
    UNE
    1.03
    ITE
    1.02
    Activations Density 0.224%

    No Known Activations