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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. 0-RES-JB
    11. 7988
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    Explanations

    the word "jelly" with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    references to jellyfish

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Mas
    -0.80
     Chapman
    -0.80
     Princ
    -0.78
     Schwar
    -0.77
    monton
    -0.77
     Armenian
    -0.77
     Alt
    -0.76
     Bravo
    -0.75
    swick
    -0.75
     Fairfax
    -0.74
    POSITIVE LOGITS
     jelly
    3.74
     Jelly
    2.59
     lob
    1.77
     lobster
    1.58
     gelatin
    1.45
     coral
    1.30
     slime
    1.29
     crabs
    1.22
     squid
    1.20
     shrimp
    1.20
    Activations Density 0.041%

    No Known Activations