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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. 11215
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    Explanations

    phrases related to decrease or reduction in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to declines in economic indicators or values

    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
    POL
    -0.70
    ZI
    -0.69
    å¦
    -0.65
    Nev
    -0.64
    NJ
    -0.62
    WI
    -0.60
    Images
    -0.59
    Appearances
    -0.59
     pardon
    -0.59
     pard
    -0.58
    POSITIVE LOGITS
    graded
    0.98
    luster
    0.85
     sharply
    0.83
     proport
    0.83
     drastically
    0.81
    downs
    0.79
    down
    0.78
     plummet
    0.78
    ourgeois
    0.76
    grading
    0.75
    Activations Density 0.106%

    No Known Activations