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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. 12-RES-JB
    11. 4248
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    Explanations

    punctuation marks signaling the end of a sentence

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases conveying sensory experiences or emotional states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     satell
    -1.29
     confir
    -1.29
     tremend
    -1.27
     carbohyd
    -1.20
     volunte
    -1.18
     mathemat
    -1.15
     commer
    -1.13
     millenn
    -1.11
    ¥ŀ
    -1.11
     notor
    -1.08
    POSITIVE LOGITS
     Suddenly
    1.42
     Slowly
    1.41
     Behind
    1.37
     Seconds
    1.33
     Tears
    1.33
     Moments
    1.29
     Turning
    1.25
     Looking
    1.23
     Sitting
    1.22
     Then
    1.20
    Activations Density 0.263%

    No Known Activations