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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. 1828
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    Explanations

    phrases related to technology and software development

    oai_token-act-pair · gpt-3.5-turbo

    references to company plans and developments

    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
    usterity
    -0.74
    ictionary
    -0.66
    ocaust
    -0.66
     dull
    -0.63
    overty
    -0.63
     corrupt
    -0.63
    zac
    -0.61
     eg
    -0.61
     sterile
    -0.60
    rugged
    -0.60
    POSITIVE LOGITS
     accordingly
    0.91
     thereafter
    0.81
    osponsors
    0.79
     yours
    0.78
     soon
    0.70
     subsequent
    0.69
    ospons
    0.68
     anticip
    0.67
     subsequently
    0.67
     eager
    0.67
    Activations Density 0.811%

    No Known Activations