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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. 3-RES-JB
    11. 5016
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    Explanations

    words related to providing evidence or support for a claim or argument

    oai_token-act-pair · gpt-3.5-turbo

    terms related to substantiation and evidence in arguments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    giving
    -0.75
    dream
    -0.65
     Sparrow
    -0.64
    PER
    -0.64
    ³³³³³³³³³³³³³³³³
    -0.62
    FAULT
    -0.62
     Jasper
    -0.62
    scape
    -0.62
    pox
    -0.60
    king
    -0.60
    POSITIVE LOGITS
    iated
    1.45
    iation
    1.35
    iates
    1.29
    iations
    1.23
     substant
    1.18
    iating
    1.17
    ively
    1.16
    iate
    1.10
    ibly
    0.96
    ially
    0.94
    Activations Density 0.009%

    No Known Activations