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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. 1-RES-JB
    11. 2231
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    INDEX
    Explanations

    phrases related to intensity or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to quality and performance, particularly in specific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERA
    -0.78
    posted
    -0.77
    PRES
    -0.76
    ACTED
    -0.76
    ACA
    -0.71
     ______
    -0.71
    SPONSORED
    -0.70
    UTERS
    -0.69
    present
    -0.68
    VIEW
    -0.68
    POSITIVE LOGITS
    astic
    1.62
    astically
    1.22
    ity
    1.07
    astics
    1.06
    ulously
    1.00
    ulous
    0.91
    astical
    0.87
    ious
    0.84
     ILCS
    0.82
    ibli
    0.80
    Activations Density 0.006%

    No Known Activations