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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. 6-RES-JB
    11. 942
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    INDEX
    Explanations

    contractions of "get it" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "it"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    notice
    -0.72
     Mans
    -0.71
    ILE
    -0.65
    ãĤ±
    -0.64
    ãĥ´ãĤ¡
    -0.64
    911
    -0.63
    767
    -0.59
    VA
    -0.59
     Friend
    -0.59
    762
    -0.58
    POSITIVE LOGITS
    chy
    1.23
    alian
    0.86
    unes
    0.86
    iner
    0.81
    atic
    0.69
     backwards
    0.67
    atically
    0.67
    geist
    0.67
    asca
    0.67
    ueller
    0.66
    Activations Density 0.079%

    No Known Activations