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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. 2957
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    Explanations

    medical terms and procedures, such as "coroner," "vomiting," "fever," "brain damage," and "open wounds."

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal and institutional outcomes

    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
    thood
    -0.63
     nutshell
    -0.61
    Gender
    -0.55
    Growing
    -0.52
    çļ
    -0.52
     Parables
    -0.51
    anka
    -0.51
    eno
    -0.51
    osher
    -0.50
    ertain
    -0.50
    POSITIVE LOGITS
     resumed
    0.74
     regained
    0.73
     restart
    0.70
     reapp
    0.68
     withdrawals
    0.68
     subsequent
    0.66
     exhaustion
    0.66
     reverted
    0.65
     reinstated
    0.65
     rede
    0.63
    Activations Density 1.508%

    No Known Activations