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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. 10762
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    Explanations

    phrases regarding achievements or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "our" and its variations, indicating a focus on collective experiences or ownership

    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
    puff
    -0.75
     Ambro
    -0.68
    bender
    -0.68
    tar
    -0.67
    conom
    -0.67
     contradicts
    -0.66
    atican
    -0.66
    netflix
    -0.66
    FU
    -0.65
     Goes
    -0.65
    POSITIVE LOGITS
    selves
    1.34
     own
    1.15
     respective
    0.90
     collective
    0.87
     adversary
    0.86
     asses
    0.85
     beloved
    0.84
     newest
    0.84
     adversaries
    0.84
     jaws
    0.82
    Activations Density 0.114%

    No Known Activations