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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. 10170
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    Explanations

    contractions where the subject is 'we' and the following word is a verb

    oai_token-act-pair · gpt-3.5-turbo

    negations, particularly the phrase "didn't."

    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
    armed
    -0.75
     Dise
    -0.74
     DRAGON
    -0.72
    upp
    -0.68
     Methods
    -0.64
    OTOS
    -0.63
    mania
    -0.62
     VERS
    -0.61
     Supporting
    -0.60
     Duty
    -0.60
    POSITIVE LOGITS
    't
    1.26
    etsk
    0.86
    nt
    0.76
    okia
    0.72
    nels
    0.72
    atio
    0.70
     indeed
    0.70
    kered
    0.69
    geon
    0.68
    ":"/
    0.68
    Activations Density 0.052%

    No Known Activations