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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. 6-RES-JB
    11. 14013
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    Explanations

    phrases related to being confronted with challenges or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating challenges or difficulties encountered

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rust
    -0.72
    ifications
    -0.71
     entit
    -0.69
    ifiable
    -0.67
    erent
    -0.67
    orem
    -0.66
    roma
    -0.65
    vacc
    -0.65
    liam
    -0.64
    ibble
    -0.64
    POSITIVE LOGITS
     adversity
    0.91
     foreclosure
    0.81
    hani
    0.81
     facing
    0.80
     faced
    0.77
     faces
    0.76
     uphill
    0.75
     Faces
    0.74
     face
    0.74
     showc
    0.73
    Activations Density 0.031%

    No Known Activations