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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. 13943
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    Explanations

    measurements that are below a certain threshold

    oai_token-act-pair · gpt-3.5-turbo

    references to thresholds or levels that are below a specified value

    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
    RAW
    -0.76
    ãĤ¹ãĥĪ
    -0.76
    ãĤ£
    -0.76
    Mail
    -0.74
    è¦ļéĨĴ
    -0.73
    Sense
    -0.66
    SON
    -0.66
    Prosecut
    -0.66
    Policy
    -0.66
    Access
    -0.66
    POSITIVE LOGITS
    ground
    0.95
     grade
    0.88
    grade
    0.78
     subsistence
    0.77
    hand
    0.73
    deck
    0.73
     average
    0.72
     Average
    0.72
     decks
    0.68
    mentioned
    0.68
    Activations Density 0.028%

    No Known Activations