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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. 1-RES-JB
    11. 22153
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    Explanations

    phrases ending with a comma followed by high-intensity exclamations or declarations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas and quotation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -0.84
    estone
    -0.68
    agin
    -0.67
    eb
    -0.64
    ·
    -0.63
    §
    -0.62
    akia
    -0.62
    igne
    -0.62
    ieri
    -0.62
     metic
    -0.61
    POSITIVE LOGITS
     reads
    0.87
     according
    0.71
    thumbnails
    0.70
    ]"
    0.69
    ,'"
    0.68
     Springer
    0.67
    ],"
    0.66
     Netanyahu
    0.64
    >>\
    0.64
    according
    0.63
    Activations Density 0.066%

    No Known Activations