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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. 11-RES-JB
    11. 24561
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    Explanations

    phrases related to bringing or bringing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bring" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minster
    -0.69
    raid
    -0.69
    schild
    -0.66
     Skydragon
    -0.66
    chance
    -0.64
    cut
    -0.64
    ritical
    -0.63
    maker
    -0.62
    Iter
    -0.61
    SPONSORED
    -0.61
    POSITIVE LOGITS
     forth
    1.09
     back
    1.01
     along
    0.95
     home
    0.88
     forward
    0.87
     together
    0.87
     aboard
    0.81
     up
    0.79
     BACK
    0.78
     attention
    0.77
    Activations Density 0.051%

    No Known Activations