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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. 9-RES-JB
    11. 13350
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    INDEX
    Explanations

    phrases indicating the speaker is about to provide information or take action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate personal engagement and the act of delivering information

    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
    ibles
    -0.82
    NAS
    -0.69
    netflix
    -0.69
    ORED
    -0.68
    oras
    -0.63
    Developer
    -0.61
    burning
    -0.59
    ebus
    -0.59
    senal
    -0.57
    taining
    -0.56
    POSITIVE LOGITS
     assure
    1.13
     clarify
    1.05
     reiterate
    1.04
     reassure
    1.03
     explain
    1.01
     summarize
    1.00
     assume
    0.97
     tell
    0.97
     emphasize
    0.97
     remind
    0.96
    Activations Density 0.035%

    No Known Activations