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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. 24209
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    Explanations

    the word "Past"

    oai_token-act-pair · gpt-3.5-turbo

    references to historical contexts or past events

    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
    anguage
    -0.78
    izes
    -0.72
    UGH
    -0.70
     EntityItem
    -0.70
    oaded
    -0.69
    DERR
    -0.65
    jriwal
    -0.65
    ized
    -0.64
    ENGTH
    -0.63
    izable
    -0.63
    POSITIVE LOGITS
    oral
    1.26
    ebin
    0.98
    fam
    0.95
    orius
    0.90
    urious
    0.89
    olini
    0.88
    ors
    0.88
    urity
    0.87
    ure
    0.83
    asus
    0.80
    Activations Density 0.028%

    No Known Activations