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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. 7-RES-JB
    11. 14289
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    Explanations

    paired adjectives describing qualities as positive or negative

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence of opposing qualities or dualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sbm
    -0.75
    igraph
    -0.74
    ttes
    -0.73
    rontal
    -0.71
    quit
    -0.68
    pora
    -0.67
    ackle
    -0.65
    artment
    -0.65
    eters
    -0.64
    ural
    -0.62
    POSITIVE LOGITS
     brightest
    0.85
     informative
    0.80
     usable
    0.80
     stable
    0.79
     reliable
    0.78
     altru
    0.78
     worthwhile
    0.78
     prosperous
    0.77
     virtuous
    0.76
     ethical
    0.76
    Activations Density 0.243%

    No Known Activations