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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. 7-RES-JB
    11. 22591
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    Explanations

    specific references to scientific research institutions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at" and its context within academic or research-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VALUE
    -0.80
    ãĢĤ
    -0.79
    HUD
    -0.71
    mere
    -0.69
    ãĥĺ
    -0.68
    èĢ
    -0.68
    çľ
    -0.68
    èĥ
    -0.67
    obyl
    -0.67
    TEXTURE
    -0.65
    POSITIVE LOGITS
    artments
    0.71
    regon
    0.69
    sembly
    0.68
    raq
    0.68
     Forensic
    0.68
    ongyang
    0.67
    estern
    0.67
    pired
    0.66
     Nanto
    0.65
     Southeast
    0.65
    Activations Density 0.191%

    No Known Activations