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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11844
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    INDEX
    Explanations

    phrases describing intentions or plans involving specific actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve conditions, consequences, or actions related to policies and governance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¦ãĤ¹
    -0.69
    quished
    -0.68
    urnal
    -0.66
     Selected
    -0.63
    DX
    -0.61
    uber
    -0.61
    ĻĤ
    -0.60
    raved
    -0.60
    awed
    -0.60
    itarian
    -0.59
    POSITIVE LOGITS
     thereby
    1.21
     eliminate
    1.16
     lest
    1.15
     preferably
    1.13
     abolish
    1.11
     stabilize
    1.11
     dismantle
    1.08
     consolidate
    1.08
     establish
    1.04
     weaken
    1.04
    Activations Density 0.319%

    No Known Activations