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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. 10-RES-JB
    11. 4728
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    INDEX
    Explanations

    affirmative statements related to beliefs or emotions

    oai_token-act-pair · gpt-3.5-turbo

    sentiments and beliefs about love and community well-being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.68
    WithNo
    -0.61
     tremend
    -0.59
     Citiz
    -0.59
    ailability
    -0.55
    Meat
    -0.55
    ãĤ¨ãĥ«
    -0.55
    Sov
    -0.54
     rall
    -0.54
    ãĥķãĤ©
    -0.53
    POSITIVE LOGITS
     however
    0.64
     foregoing
    0.61
     combined
    0.60
     etc
    0.58
     and
    0.57
     respectively
    0.57
     additional
    0.56
     including
    0.56
     latter
    0.55
     or
    0.55
    Activations Density 0.650%

    No Known Activations