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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. 9-RES-JB
    11. 13968
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    Explanations

    adverbs and verbs related to updating, amending, changing, and modifying content

    oai_token-act-pair · gpt-3.5-turbo

    terms related to modifications and changes made to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Fit
    -0.62
     Fein
    -0.59
     Nile
    -0.58
     Gathering
    -0.58
     Founding
    -0.55
     Establishment
    -0.55
    Trend
    -0.53
    vice
    -0.52
     Crowd
    -0.52
    alach
    -0.51
    POSITIVE LOGITS
     accordingly
    1.05
     drastically
    0.89
     considerably
    0.89
     dramatically
    0.84
     substantially
    0.83
     significantly
    0.80
     slightly
    0.79
     thereto
    0.77
     into
    0.76
     radically
    0.76
    Activations Density 0.198%

    No Known Activations