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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. 10064
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    Explanations

    phrases related to shifting focus or production

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of shifting focus or moving resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    anka
    -0.66
    opus
    -0.66
     Beaut
    -0.64
     Valid
    -0.61
     Breach
    -0.60
    Perfect
    -0.58
     Butterfly
    -0.57
     pse
    -0.56
    perfect
    -0.55
    lime
    -0.55
    POSITIVE LOGITS
     toward
    1.03
     onto
    1.02
     closer
    1.02
     towards
    0.97
     focus
    0.95
     away
    0.95
     cursor
    0.89
     responsibilities
    0.89
     nearer
    0.87
     hither
    0.85
    Activations Density 0.220%

    No Known Activations