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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. 10-RES-JB
    11. 8499
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.62
    ricular
    -0.59
    esty
    -0.59
     broom
    -0.57
    cest
    -0.56
     overfl
    -0.56
     roofs
    -0.56
    rights
    -0.55
    illon
    -0.55
    emaker
    -0.54
    POSITIVE LOGITS
    :[
    1.36
    :
    1.23
    :-
    1.18
    :"
    1.14
    :(
    1.06
    :{
    1.01
     :
    0.95
    ():
    0.92
    *:
    0.92
    ":
    0.92
    Activations Density 0.073%

    No Known Activations