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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. 14084
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    INDEX
    Explanations

    phrases related to expectations or norms

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the phrase "for the."

    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
    Subject
    -0.72
    scl
    -0.67
     Obj
    -0.67
    PsyNetMessage
    -0.64
    pta
    -0.63
    istries
    -0.62
    FontSize
    -0.60
    Required
    -0.59
    bral
    -0.59
    ydia
    -0.59
    POSITIVE LOGITS
     fishes
    0.74
     roses
    0.72
     hills
    0.71
    senal
    0.67
     fences
    0.65
     punches
    0.65
     woods
    0.65
     proverbial
    0.64
    farious
    0.63
     jungle
    0.63
    Activations Density 0.108%

    No Known Activations