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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. 10-RES-JB
    11. 5058
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    INDEX
    Explanations

    references to specific names or titles related to various media, such as movies, news programs, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and key characters or names related to popular culture and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pport
    -0.78
    tumblr
    -0.75
    eele
    -0.70
    nikov
    -0.70
    dylib
    -0.67
    ngth
    -0.67
    ipment
    -0.66
     Pwr
    -0.65
    olean
    -0.64
     stride
    -0.64
    POSITIVE LOGITS
    redo
    0.74
    wald
    0.63
     Wade
    0.58
    gat
    0.57
     Ro
    0.57
    rage
    0.56
     Frankenstein
    0.55
    bart
    0.55
    pps
    0.55
    Bel
    0.55
    Activations Density 0.129%

    No Known Activations