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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. 14344
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to definitions and characteristics of entities or concepts

    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
    hillary
    -0.64
    Adv
    -0.64
     Jah
    -0.63
    asi
    -0.62
    PN
    -0.61
    sterdam
    -0.60
    cel
    -0.60
     Nath
    -0.60
    Stream
    -0.59
    atro
    -0.58
    POSITIVE LOGITS
    Initialized
    0.77
    isable
    0.76
     (<
    0.72
    ifiable
    0.71
    iated
    0.70
     è£ıç
    0.69
     thous
    0.67
     fault
    0.60
     (>
    0.60
    rencies
    0.59
    Activations Density 0.461%

    No Known Activations