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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. 10986
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    Explanations

    phrases related to expressing a reason or justification

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the phrase "for the sake of" in various contexts

    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
    iste
    -0.78
    igue
    -0.75
    quartered
    -0.70
    itions
    -0.66
    falls
    -0.65
    bag
    -0.62
    earable
    -0.62
    Jar
    -0.60
    /$
    -0.59
    glass
    -0.59
    POSITIVE LOGITS
     preserving
    1.01
     sanity
    0.83
     keeping
    0.82
     protecting
    0.79
     avoiding
    0.76
    ĺħ
    0.74
    ITNESS
    0.72
     convenience
    0.71
     sake
    0.71
     mortals
    0.71
    Activations Density 0.090%

    No Known Activations