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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
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    Explanations

    references to the word "ram" in various contexts, such as computer hardware, animals, and actions like "cram."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ram" and related terms

    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
    KI
    -0.71
     Vald
    -0.68
    ternity
    -0.67
    CLASSIFIED
    -0.65
     Fein
    -0.64
     Idle
    -0.64
     Bind
    -0.62
     Citizens
    -0.62
     Johns
    -0.61
     Towers
    -0.61
    POSITIVE LOGITS
    ming
    1.17
     ram
    1.15
    irez
    1.05
    disk
    1.03
    rod
    1.00
    pling
    0.98
    dump
    0.94
    ram
    0.93
    bling
    0.93
    hib
    0.87
    Activations Density 0.004%

    No Known Activations