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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. 3-RES-JB
    6. 19734
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    Explanations

    phrases related to observations and explanations

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating observation, acknowledgment, or explanation of information

    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
    angular
    -0.64
    Holy
    -0.62
     cruc
    -0.62
    ãĥ¯
    -0.62
    onut
    -0.61
    productive
    -0.61
    respective
    -0.60
    inal
    -0.58
    frac
    -0.57
    gins
    -0.56
    POSITIVE LOGITS
    hirt
    0.66
     nostalg
    0.66
     Quote
    0.65
    creen
    0.64
     Pitch
    0.62
    HAEL
    0.62
    ]:
    0.62
    inger
    0.62
    :]
    0.61
     Cth
    0.61
    Activations Density 0.240%

    No Known Activations