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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. 3-RES-JB
    11. 12901
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    Explanations

    the name "Ya" with varying levels of attention

    oai_token-act-pair · gpt-3.5-turbo

    the frequent use of the word "ya" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yright
    -0.80
    igree
    -0.76
    olation
    -0.73
    starter
    -0.72
    elong
    -0.69
    regor
    -0.69
    deck
    -0.69
    insula
    -0.67
    lay
    -0.67
    rodu
    -0.67
    POSITIVE LOGITS
     Pradesh
    1.02
     Sabha
    0.94
    zza
    0.80
     Yug
    0.80
     Suk
    0.79
    ielding
    0.79
    kees
    0.78
    lda
    0.77
    qs
    0.75
     Miz
    0.75
    Activations Density 0.007%

    No Known Activations