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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. 6-RES-JB
    11. 4443
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    Explanations

    phrases related to bringing something to a conclusion

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate conclusions or resolutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Recomm
    -0.60
    lus
    -0.59
     Digest
    -0.59
     Admission
    -0.57
     Dhabi
    -0.57
     Breakfast
    -0.56
    fm
    -0.56
    ami
    -0.54
     unfocusedRange
    -0.53
     TDs
    -0.53
    POSITIVE LOGITS
     aside
    0.91
    channelAvailability
    0.91
     lid
    0.78
     toget
    0.76
     emphasis
    0.75
     brakes
    0.75
     together
    0.75
     jeopardy
    0.71
    ollar
    0.68
    together
    0.67
    Activations Density 0.148%

    No Known Activations