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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. 4-RES-JB
    11. 6276
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    INDEX
    Explanations

    verbs and phrases related to alleviating or mitigating various issues or problems

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with reducing or alleviating pain and negative effects

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

    No Comments

    Negative Logits
    paio
    -0.67
    ifi
    -0.61
    clusions
    -0.61
    lished
    -0.60
    mic
    -0.60
    ached
    -0.59
    ahoo
    -0.59
    swick
    -0.58
    \/
    -0.58
    quartered
    -0.57
    POSITIVE LOGITS
     alleviate
    0.94
     allev
    0.93
     inconven
    0.80
    ilitation
    0.80
    00200000
    0.75
     relieve
    0.74
     Pwr
    0.74
    ptions
    0.74
     easing
    0.73
     Synd
    0.73
    Activations Density 0.018%

    No Known Activations