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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5250
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    Explanations

    sports-related terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to ongoing events or actions in a narrative context

    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
     issu
    -0.65
    Methods
    -0.65
    RO
    -0.64
     Rewards
    -0.64
    Higher
    -0.63
    rw
    -0.62
     Subjects
    -0.62
    ept
    -0.61
     discrep
    -0.59
     abstract
    -0.57
    POSITIVE LOGITS
     Jr
    0.82
     famously
    0.80
     tweeting
    0.76
    ogun
    0.75
    sels
    0.72
    cussion
    0.70
    SON
    0.68
     whom
    0.67
    tsky
    0.67
    icz
    0.66
    Activations Density 0.561%

    No Known Activations