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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. 11-RES-JB
    11. 21639
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    Explanations

    phrases related to negative, intense emotions or actions

    oai_token-act-pair · gpt-3.5-turbo

    prefixes and roots related to negation and conditions of speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     clearance
    -0.59
     Barker
    -0.58
     shotguns
    -0.57
     discussions
    -0.57
     circle
    -0.57
     Lambert
    -0.55
     rings
    -0.55
     commentary
    -0.55
     VIDEOS
    -0.54
     Christensen
    -0.54
    POSITIVE LOGITS
    cedented
    1.37
    akable
    1.33
    ailability
    1.24
    fortable
    1.11
    ailable
    1.10
    achable
    1.09
    oppable
    1.08
    quished
    1.07
    ifiable
    0.98
    ustomed
    0.96
    Activations Density 0.068%

    No Known Activations