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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. 5685
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    Explanations

    words related to intentions and interests

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to intentions and interests

    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
    igslist
    -0.62
    eg
    -0.59
    ggles
    -0.57
    sung
    -0.57
    ahime
    -0.57
     blat
    -0.54
    rongh
    -0.54
     hairst
    -0.53
     throats
    -0.53
     eyeb
    -0.52
    POSITIVE LOGITS
     whatsoever
    2.14
     nor
    1.25
     anymore
    1.02
    nor
    0.95
     except
    0.89
    enance
    0.89
     anywhere
    0.87
     anybody
    0.84
     either
    0.81
     any
    0.79
    Activations Density 0.186%

    No Known Activations