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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. 5-RES-JB
    6. 636
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    Explanations

    mentions of a specific term, "Sa", which is not related to a specific concept in this context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Sa" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    papers
    -0.79
    ãĥ¼ãĥĨãĤ£
    -0.78
    tics
    -0.78
    theless
    -0.72
    lessly
    -0.72
    breaks
    -0.72
    mercial
    -0.72
    å§«
    -0.70
     Turing
    -0.66
    tyard
    -0.65
    POSITIVE LOGITS
    igon
    0.98
    uten
    0.98
    adish
    0.98
    iva
    0.97
    Ga
    0.92
    uth
    0.89
    vers
    0.89
     Sa
    0.89
    ivas
    0.88
    pling
    0.88
    Activations Density 0.010%

    No Known Activations