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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. 1570
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    INDEX
    Explanations

    instances where something is perceived or considered in a certain way

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating perception or viewpoint

    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
    eez
    -0.67
    oller
    -0.67
    iasco
    -0.67
    scene
    -0.63
    atted
    -0.62
    LS
    -0.62
    Length
    -0.59
    length
    -0.59
    Vers
    -0.58
    LINE
    -0.58
    POSITIVE LOGITS
    pires
    0.87
    criptions
    0.86
     opposed
    0.85
    pired
    0.85
    ĪĴ
    0.84
    ocial
    0.81
    pers
    0.81
    ©¶æ
    0.79
    ¥µ
    0.78
    pire
    0.76
    Activations Density 0.109%

    No Known Activations