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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
    11. 9543
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    INDEX
    Explanations

    words or phrases related to items or objects being full or heavily stocked with something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "loaded" and its contextual uses related to quantity or capacity

    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
    fax
    -0.80
    agara
    -0.77
    kos
    -0.73
    study
    -0.67
    recogn
    -0.66
    chal
    -0.66
    LI
    -0.65
    conn
    -0.65
    abella
    -0.64
    IRO
    -0.63
    POSITIVE LOGITS
     loads
    1.07
    loading
    0.97
     loaded
    0.90
     baskets
    0.87
     load
    0.85
    loads
    0.84
     crates
    0.83
    loaded
    0.81
     Load
    0.79
     loading
    0.78
    Activations Density 0.010%

    No Known Activations