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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. 13447
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    Explanations

    sentences related to business and financial activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to economic impact and financial consequences

    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
     pioneered
    -0.64
     TBA
    -0.59
     preceded
    -0.58
     overseen
    -0.54
    anwhile
    -0.54
     Latest
    -0.54
    chnology
    -0.53
    âķIJ
    -0.53
     spearheaded
    -0.53
     Goddard
    -0.52
    POSITIVE LOGITS
     profit
    0.71
     unwanted
    0.70
     Profit
    0.68
     wasted
    0.66
     undes
    0.66
     headaches
    0.64
     headache
    0.64
    advant
    0.64
     undesirable
    0.62
     benefit
    0.62
    Activations Density 1.283%

    No Known Activations