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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. 4720
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    Explanations

    references to different types of media such as books, TV shows, movies, games, and more

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" 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
    Ĥİ
    -0.80
    :(
    -0.79
    poke
    -0.79
    ight
    -0.78
    ����
    -0.72
    bard
    -0.72
    DON
    -0.71
    ÃŃs
    -0.68
    oton
    -0.67
    ï¸
    -0.67
    POSITIVE LOGITS
     etc
    1.08
     assorted
    0.98
    etc
    0.83
     optionally
    0.74
     possibly
    0.74
     yes
    0.72
    olean
    0.69
     vice
    0.68
     maybe
    0.63
     consequ
    0.63
    Activations Density 0.509%

    No Known Activations