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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. 11-RES-JB
    11. 2000
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    Explanations

    phrases related to events or actions that are likely to happen as a result of certain circumstances

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "ensuing" or events that follow as a consequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pedia
    -0.75
    anooga
    -0.67
    ification
    -0.67
     insensitive
    -0.66
    ritic
    -0.65
    apy
    -0.65
    ifications
    -0.64
    ifiable
    -0.63
     unsupported
    -0.63
    yp
    -0.62
    POSITIVE LOGITS
    nce
    0.86
    ¬
    0.85
    strate
    0.80
     ens
    0.80
    ces
    0.78
    FFER
    0.76
    ue
    0.75
    ues
    0.75
    eers
    0.73
    «
    0.71
    Activations Density 0.096%

    No Known Activations