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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. 13771
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    INDEX
    Explanations

    adjectives indicating high purity or quality

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of purity

    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
    è¦ļéĨĴ
    -0.91
    apter
    -0.86
    izoph
    -0.80
    apper
    -0.80
    agements
    -0.76
     Peninsula
    -0.75
     therap
    -0.75
    otos
    -0.75
    appers
    -0.74
    abies
    -0.73
    POSITIVE LOGITS
    waters
    1.04
    bred
    0.92
    blood
    0.90
    blooded
    0.82
    ified
    0.82
    water
    0.80
    pure
    0.79
    char
    0.74
     pure
    0.74
    ification
    0.73
    Activations Density 0.022%

    No Known Activations