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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. 8-RES-JB
    11. 10717
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    Explanations

    questions asking for explanations or reasons

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ejected
    -0.71
    oval
    -0.71
    umen
    -0.70
    elist
    -0.70
     booked
    -0.70
    urated
    -0.70
     lab
    -0.69
     evening
    -0.69
    elta
    -0.69
     pads
    -0.69
    POSITIVE LOGITS
     Why
    1.42
     Because
    1.41
     Well
    1.24
     WHY
    1.22
     Firstly
    1.19
    Because
    1.18
     Isn
    1.18
     Reasons
    1.15
     Surely
    1.13
     Answer
    1.09
    Activations Density 0.094%

    No Known Activations