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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. 6938
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    INDEX
    Explanations

    instances of phrases indicating a lack of action or effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "to" followed by various actions or intents

    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
     Klu
    -0.70
     Kop
    -0.68
    prem
    -0.67
     Cros
    -0.66
    esi
    -0.65
    zynski
    -0.59
     Uses
    -0.59
     Kau
    -0.59
    flying
    -0.57
    elsen
    -0.57
    POSITIVE LOGITS
     improve
    1.31
     promote
    1.27
     deserve
    1.24
     alleviate
    1.23
     enhance
    1.22
     encourage
    1.16
     prepare
    1.14
     mitigate
    1.13
     ensure
    1.13
     discourage
    1.12
    Activations Density 0.086%

    No Known Activations