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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. 1-RES-JB
    11. 881
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    Explanations

    terms related to network routing or data throttling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to network routing and throttling issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATURE
    -0.73
     Dunham
    -0.70
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.70
     Hayden
    -0.67
    ota
    -0.66
     Pel
    -0.65
    endi
    -0.64
    ature
    -0.62
    ש
    -0.61
     Flores
    -0.61
    POSITIVE LOGITS
     routed
    1.35
     routing
    1.25
     rout
    1.16
    oute
    1.09
     mosqu
    0.96
    ahime
    0.94
    xual
    0.84
    yssey
    0.82
    DAQ
    0.82
     conductor
    0.81
    Activations Density 0.011%

    No Known Activations