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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. 9-RES-JB
    11. 17291
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    Explanations

    phrases related to previous events or instances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to prior events or studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    $$$$
    -0.78
    bucks
    -0.62
    morrow
    -0.60
    whatever
    -0.59
     profession
    -0.59
    stairs
    -0.59
    clock
    -0.58
    0000000
    -0.58
    adobe
    -0.58
    ))))
    -0.58
    POSITIVE LOGITS
     unsuccessfully
    1.09
     unsuccessful
    0.84
     failed
    0.83
     dealt
    0.74
     administrations
    0.69
     clashed
    0.68
     previous
    0.68
     tried
    0.67
     relied
    0.67
     attempted
    0.66
    Activations Density 0.624%

    No Known Activations