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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    references to events or activities related to sports

    oai_token-act-pair · gpt-3.5-turbo

    references to halftime events in sports settings

    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
     Salmon
    -0.76
     Prosper
    -0.70
    zsche
    -0.69
     Nek
    -0.66
     Edit
    -0.66
     Forth
    -0.65
     Property
    -0.64
     Feather
    -0.64
    Fish
    -0.64
     Ober
    -0.64
    POSITIVE LOGITS
     halftime
    2.47
     sideline
    2.09
    yden
    1.38
     boo
    1.34
     stopp
    1.33
    ftime
    1.26
     scr
    1.21
     chants
    1.13
     backstage
    1.09
     chore
    1.03
    Activations Density 0.041%

    No Known Activations